Probably Genetic

About Probably Genetic Probably Genetic is changing the lives of patients living with severe, complex diseases. Our data platform is used by drug developers and patient advocacy groups to develop and launch treatments for these patients. Our technology discovers undiagnosed patients online, analyzes their disease state using machine learning and at-home testing, and enables compliant communication with patients. In doing so, we help patients access diagnoses, clinical trials, and treatments as early as possible. We are a tight-knit group of hard-working, ambitious problem solvers united by a mission greater than ourselves. We do well by doing right by patients. We are developing some of the most cutting-edge solutions in healthcare, and our roadmap is packed with innovations in bioinformatics, AI, and drug development. We have built a lean, all-star team to help us bring our vision to life, and we want you to be a part of it. Probably Genetic has raised multiple rounds of funding from Silicon Valley’s best investors, including Threshold, Khosla, and Y Combinator, and offer competitive salaries, comprehensive benefits, and meaningful early stage equity. About the role We are looking for a Solutions Architect who will own the end-to-end customer relationship for biopharma partners: serving as a primary point of contact, delivering proactive insights, and translating customer needs into product improvements that drive retention and growth. What you will do Own the full post-sale customer relationship for key biopharma accounts, serving as key point of contact, ensuring every customer receives a consistent, high-quality experience Establish and run a regular cadence of customer check-ins, proactively surfacing insights and flagging risks before they become issues Build and maintain a consolidated backlog of customer requests, feedback, and complaints across all accounts, identifying patterns and translating them into actionable product feature requests and roadmap Prepare and deliver polished, data-driven insight packages and presentations for customer stakeholders by turning raw data into clear, compelling narratives Partner closely with the BD and engineering teams to scope and prioritize customer-informed improvements, and serve as the internal voice of the customer Support ownership of the customer-facing product and related customer-facing tooling, contributing to product management and roadmap decisions Build lightweight AI-assisted tools and automations to streamline customer reporting and reduce manual effort over time Collaborate with leadership on account strategy, renewal planning, and expansion opportunities across the biopharma and insurance customer portfolio Who you are We are looking for a few specific things that will help you succeed in this role: 5+ years of experience in customer success, solutions, forward-deployed engineering, product management, or a related client-facing role — ideally in a biopharma, healthtech, or data-driven B2B environment Demonstrated ability to independently manage senior stakeholder relationships at large organizations, including running proactive account cadences and handling escalations Strong data fluency — comfortable working in spreadsheets and ideally with SQL or Python to pull, clean, and package insights without heavy analytical support Excellent written and verbal communication skills, with a track record of producing polished customer-facing deliverables including decks, dashboards and insight summaries AI native — you use AI tools as a core part of your workflow and are comfortable vibe coding lightweight solutions without engineering support Experience translating customer feedback into product requirements and working alongside engineering to deliver improvements Some things that are not required, but you will learn on the job: Familiarity with rare disease, genetics, or the biopharma drug development lifecycle Experience with patient-

About Probably Genetic Probably Genetic is changing the lives of patients living with severe, complex diseases. Our data platform is used by drug developers and patient advocacy groups to develop and launch treatments for these patients. Our technology discovers undiagnosed patients online, analyzes their disease state using machine learning and at-home testing, and enables compliant communication with patients. In doing so, we help patients access diagnoses, clinical trials, and treatments as early as possible. We are a tight-knit group of hard-working, ambitious problem solvers united by a mission greater than ourselves. We do well by doing right by patients. We are developing some of the most cutting-edge solutions in healthcare, and our roadmap is packed with innovations in bioinformatics, AI, and drug development. We have built a lean, all-star team to help us bring our vision to life, and we want you to be a part of it. Probably Genetic has raised multiple rounds of funding from Silicon Valley’s best investors, including Threshold, Khosla, and Y Combinator, and offer competitive salaries, comprehensive benefits, and meaningful early stage equity. About the role We are looking for a Director of Strategic Partnerships who will lead our biopharma and biotech client relationships end-to-end, own deal coordination and evolve our commercial infrastructure to move data access and co-development deals from first conversation to close. What you will do Own our data access and co-development pipeline, incl. setting cadences, running calls, drafting follow-ups, and ensuring every client conversation stays warm and progressing Develop a repeatable deal coordination playbook that scales as the partner portfolio grows across data access and co-development deals Serve as organized, responsive point of contact for biopharma and biotech partners between senior-level touchpoints, ensuring nothing falls through the cracks Design and run partner-facing education programs that help counterparts understand our data, patient cohort capabilities, and co-development model Build and maintain our commercial infrastructure: pricing documentation, access term frameworks, deal templates, and onboarding materials for new partners Maintain CRM hygiene across all partner accounts: log interactions, track deal stages, flag risks, and prepare briefing materials ahead of senior meetings Coordinate preparation of data packages tailored to specific partner indications and cohort priorities, working cross-functionally to pull together the right content Support SOW and data access agreement drafting: organize templates, track redlines, and manage version control across active negotiations Who you are We are looking for a few specific things that will help you succeed in this role: 3-5 years of experience, incl. a meaningful stint in strategy consulting: you know how to structure ambiguous problems and build frameworks from scratch Familiarity with how pharma and biotech BD, alliance, or procurement functions operate Direct experience with closing data access deals or developing royalty-/milestone-based co-development term sheets Experience working on complex, multi-stakeholder projects with long timelines and moving parts Clear, structured communication allowing you to synthesize a complex deal status into a crisp update for a senior audience and credibly represent an organization externally Proven track record of rolling up your sleeves and doing the work (e.g., drafting docs, managing CRM, coordinating across stakeholders) without a support layer beneath you Some things that are not required, but you will learn on the job: Prior experience specifically in rare or genetic diseases, genomics, or precision medicine data, or exposure to patient registry or real-world data products Prior experience at a startup or in a role where you built entire commercial infrastructures from scratch As with all new hires at Probably Geneti

About Probably Genetic Probably Genetic is changing the lives of patients living with severe, complex diseases. Our data platform is used by drug developers and patient advocacy groups to develop and launch treatments for these patients. Our technology discovers undiagnosed patients online, analyzes their disease state using machine learning and at-home testing, and enables compliant communication with patients. In doing so, we help patients access diagnoses, clinical trials, and treatments as early as possible. We are a tight-knit group of hard-working, ambitious problem solvers united by a mission greater than ourselves. We do well by doing right by patients. We are developing some of the most cutting-edge solutions in healthcare, and our roadmap is packed with innovations in bioinformatics, AI, and drug development. We have built a lean, all-star team to help us bring our vision to life, and we want you to be a part of it. Probably Genetic has raised multiple rounds of funding from Silicon Valley’s best investors, including Threshold, Khosla, and Y Combinator, and offer competitive salaries, comprehensive benefits, and meaningful early stage equity. About the role We are looking for a Director of Strategic Partnerships who will lead our biopharma and biotech client relationships end-to-end, own deal coordination and evolve our commercial infrastructure to move data access and co-development deals from first conversation to close. What you will do Own our data access and co-development pipeline, incl. setting cadences, running calls, drafting follow-ups, and ensuring every client conversation stays warm and progressing Develop a repeatable deal coordination playbook that scales as the partner portfolio grows across data access and co-development deals Serve as organized, responsive point of contact for biopharma and biotech partners between senior-level touchpoints, ensuring nothing falls through the cracks Design and run partner-facing education programs that help counterparts understand our data, patient cohort capabilities, and co-development model Build and maintain our commercial infrastructure: pricing documentation, access term frameworks, deal templates, and onboarding materials for new partners Maintain CRM hygiene across all partner accounts: log interactions, track deal stages, flag risks, and prepare briefing materials ahead of senior meetings Coordinate preparation of data packages tailored to specific partner indications and cohort priorities, working cross-functionally to pull together the right content Support SOW and data access agreement drafting: organize templates, track redlines, and manage version control across active negotiations Who you are We are looking for a few specific things that will help you succeed in this role: 3-5 years of experience, incl. a meaningful stint in strategy consulting: you know how to structure ambiguous problems and build frameworks from scratch Familiarity with how pharma and biotech BD, alliance, or procurement functions operate Direct experience with closing data access deals or developing royalty-/milestone-based co-development term sheets Experience working on complex, multi-stakeholder projects with long timelines and moving parts Clear, structured communication allowing you to synthesize a complex deal status into a crisp update for a senior audience and credibly represent an organization externally Proven track record of rolling up your sleeves and doing the work (e.g., drafting docs, managing CRM, coordinating across stakeholders) without a support layer beneath you Some things that are not required, but you will learn on the job: Prior experience specifically in rare or genetic diseases, genomics, or precision medicine data, or exposure to patient registry or real-world data products Prior experience at a startup or in a role where you built entire commercial infrastructures from scratch As with all new hires at Probably Geneti

About Probably Genetic Probably Genetic is changing the lives of patients living with severe, complex diseases. Our data platform is used by drug developers and patient advocacy groups to develop and launch treatments for these patients. Our technology discovers undiagnosed patients online, analyzes their disease state using machine learning and at-home testing, and enables compliant communication with patients. In doing so, we help patients access diagnoses, clinical trials, and treatments as early as possible. We are a tight-knit group of hard-working, ambitious problem solvers united by a mission greater than ourselves. We do well by doing right by patients. We are developing some of the most cutting-edge solutions in healthcare, and our roadmap is packed with innovations in bioinformatics, AI, and drug development. We have built a lean, all-star team to help us bring our vision to life, and we want you to be a part of it. Probably Genetic has raised multiple rounds of funding from Silicon Valley’s best investors, including Threshold, Khosla, and Y Combinator, and offer competitive salaries, comprehensive benefits, and meaningful early stage equity. About the role We are looking for a Forward Deployed Product Manager who will own the end-to-end customer relationship for biopharma partners: serving as a primary point of contact, delivering proactive insights, and translating customer needs into product improvements that drive retention and growth. What you will do Own the full post-sale customer relationship for key biopharma accounts, serving as key point of contact, ensuring every customer receives a consistent, high-quality experience Establish and run a regular cadence of customer check-ins, proactively surfacing insights and flagging risks before they become issues Build and maintain a consolidated backlog of customer requests, feedback, and complaints across all accounts, identifying patterns and translating them into actionable product feature requests and roadmap Prepare and deliver polished, data-driven insight packages and presentations for customer stakeholders by turning raw data into clear, compelling narratives Partner closely with the BD and engineering teams to scope and prioritize customer-informed improvements, and serve as the internal voice of the customer Support ownership of the customer-facing product and related customer-facing tooling, contributing to product management and roadmap decisions Build lightweight AI-assisted tools and automations to streamline customer reporting and reduce manual effort over time Collaborate with leadership on account strategy, renewal planning, and expansion opportunities across the biopharma and insurance customer portfolio Who you are We are looking for a few specific things that will help you succeed in this role: 5+ years of experience in customer success, solutions, forward-deployed engineering, product management, or a related client-facing role — ideally in a biopharma, healthtech, or data-driven B2B environment Demonstrated ability to independently manage senior stakeholder relationships at large organizations, including running proactive account cadences and handling escalations Strong data fluency — comfortable working in spreadsheets and ideally with SQL or Python to pull, clean, and package insights without heavy analytical support Excellent written and verbal communication skills, with a track record of producing polished customer-facing deliverables including decks, dashboards and insight summaries AI native — you use AI tools as a core part of your workflow and are comfortable vibe coding lightweight solutions without engineering support Experience translating customer feedback into product requirements and working alongside engineering to deliver improvements Some things that are not required, but you will learn on the job: Familiarity with rare disease, genetics, or the biopharma drug development lifecycle Experience

About Probably Genetic Probably Genetic is changing the lives of patients living with severe, complex diseases. Our data platform is used by drug developers and patient advocacy groups to develop and launch treatments for these patients. Our technology discovers undiagnosed patients online, analyzes their disease state using machine learning and at-home testing, and enables compliant communication with patients. In doing so, we help patients access diagnoses, clinical trials, and treatments as early as possible. We are a tight-knit group of hard-working, ambitious problem solvers united by a mission greater than ourselves. We do well by doing right by patients. We are developing some of the most cutting-edge solutions in healthcare, and our roadmap is packed with innovations in bioinformatics, AI, and drug development. We have built a lean, all-star team to help us bring our vision to life, and we want you to be a part of it. Probably Genetic has raised multiple rounds of funding from Silicon Valley’s best investors, including Threshold, Khosla, and Y Combinator, and offer competitive salaries, comprehensive benefits, and meaningful early stage equity. About the role We are looking for a Forward Deployed Product Manager who will own the end-to-end customer relationship for biopharma partners: serving as a primary point of contact, delivering proactive insights, and translating customer needs into product improvements that drive retention and growth. What you will do Own the full post-sale customer relationship for key biopharma accounts, serving as key point of contact, ensuring every customer receives a consistent, high-quality experience Establish and run a regular cadence of customer check-ins, proactively surfacing insights and flagging risks before they become issues Build and maintain a consolidated backlog of customer requests, feedback, and complaints across all accounts, identifying patterns and translating them into actionable product feature requests and roadmap Prepare and deliver polished, data-driven insight packages and presentations for customer stakeholders by turning raw data into clear, compelling narratives Partner closely with the BD and engineering teams to scope and prioritize customer-informed improvements, and serve as the internal voice of the customer Support ownership of the customer-facing product and related customer-facing tooling, contributing to product management and roadmap decisions Build lightweight AI-assisted tools and automations to streamline customer reporting and reduce manual effort over time Collaborate with leadership on account strategy, renewal planning, and expansion opportunities across the biopharma and insurance customer portfolio Who you are We are looking for a few specific things that will help you succeed in this role: 5+ years of experience in customer success, solutions, forward-deployed engineering, product management, or a related client-facing role — ideally in a biopharma, healthtech, or data-driven B2B environment Demonstrated ability to independently manage senior stakeholder relationships at large organizations, including running proactive account cadences and handling escalations Strong data fluency — comfortable working in spreadsheets and ideally with SQL or Python to pull, clean, and package insights without heavy analytical support Excellent written and verbal communication skills, with a track record of producing polished customer-facing deliverables including decks, dashboards and insight summaries AI native — you use AI tools as a core part of your workflow and are comfortable vibe coding lightweight solutions without engineering support Experience translating customer feedback into product requirements and working alongside engineering to deliver improvements Some things that are not required, but you will learn on the job: Familiarity with rare disease, genetics, or the biopharma drug development lifecycle Experience

About Probably Genetic Probably Genetic is changing the lives of patients living with severe, complex diseases. Our data platform is used by drug developers and patient advocacy groups to develop and launch treatments for these patients. Our technology discovers undiagnosed patients online, analyzes their disease state using machine learning and at-home testing, and enables compliant communication with patients. In doing so, we help patients access diagnoses, clinical trials, and treatments as early as possible. We are a tight-knit group of hard-working, ambitious problem solvers united by a mission greater than ourselves. We do well by doing right by patients. We are developing some of the most cutting-edge solutions in healthcare, and our roadmap is packed with innovations in bioinformatics, AI, and drug development. We have built a lean, all-star team to help us bring our vision to life, and we want you to be a part of it. Probably Genetic has raised multiple rounds of funding from Silicon Valley’s best investors, including Threshold, Khosla, and Y Combinator, and offer competitive salaries, comprehensive benefits, and meaningful early stage equity. About the role We’re looking for our Founding Data Engineer who’s excited to help shape the future of how we use data to make better decisions and improve patient lives. In this role, you’ll establish our data engineering architecture and build the pipelines that power both internal insights and our commercial data products. Your work will help drive clarity, impact, and growth across the company. What you will do Partner closely with the Head of Engineering and Head of Product to turn complex data challenges into elegant, scalable solutions Build reliable, maintainable infrastructure in AWS using Terraform to support our growing data needs Design data tables and pipelines that serve the unique needs of our customers and internal teams Implement best-in-class data pipelines with observability built in from day one Analyze and visualize data in BI tools to enable informed business decisions and deliver tailored insights to customers Share your work and impact across teams — presenting results, learning from feedback, and continuously improving Who you are We’re excited to meet candidates from all backgrounds who are eager to learn, grow, and make an impact. Here are a few things that will help you thrive in this role: A proven ability to translate complex information into clear, actionable insights — and to collaborate effectively across teams Fluency with Python, SQL, and other relevant technologies Experience building advanced data infrastructure in AWS using Terraform Strong analytical thinking and hands-on experience with data visualization tools Some things that are not required, but you could learn on the job: Working with healthcare data standards (including HL7, FHIR, OMOP, and HPO) Understanding marketing data from platforms like Google and Meta Deepening your expertise in HIPAA compliance and data security best practices As with all new hires at Probably Genetic, you will also need to be: A good person. We work with some of the most marginalized populations on the planet and empathy is key Patient-focused and motivated to have a lasting, positive impact on humanity Comfortable in a fast-paced, often ambiguous environment with rapid change Action-oriented and excited to build a company from the ground up The salary range for this role is $150,000-$210,000 annually. Actual compensation offered will depend on several factors including but not limited to: work experience, education, skill level, and/or other business and organizational needs. This is a hybrid role that will requires working on-site 3 days a week (Tuesday, Wednesday, Thursday) in San Francisco and we are open to relocation. What we offer at Probably Genetic: An engaging and supportive team all on a mission to improve lives Fair and equitable compensation with co

About Probably Genetic Probably Genetic is changing the lives of patients living with severe, complex diseases. Our data platform is used by drug developers and patient advocacy groups to develop and launch treatments for these patients. Our technology discovers undiagnosed patients online, analyzes their disease state using machine learning and at-home testing, and enables compliant communication with patients. In doing so, we help patients access diagnoses, clinical trials, and treatments as early as possible. We are a tight-knit group of hard-working, ambitious problem solvers united by a mission greater than ourselves. We do well by doing right by patients. We are developing some of the most cutting-edge solutions in healthcare, and our roadmap is packed with innovations in bioinformatics, AI, and drug development. We have built a lean, all-star team to help us bring our vision to life, and we want you to be a part of it. Probably Genetic has raised multiple rounds of funding from Silicon Valley’s best investors, including Threshold, Khosla, and Y Combinator, and offer competitive salaries, comprehensive benefits, and meaningful early stage equity. About the role We’re looking for our Founding Data Engineer who’s excited to help shape the future of how we use data to make better decisions and improve patient lives. In this role, you’ll establish our data engineering architecture and build the pipelines that power both internal insights and our commercial data products. Your work will help drive clarity, impact, and growth across the company. What you will do Partner closely with the Head of Engineering and Head of Product to turn complex data challenges into elegant, scalable solutions Build reliable, maintainable infrastructure in AWS using Terraform to support our growing data needs Design data tables and pipelines that serve the unique needs of our customers and internal teams Implement best-in-class data pipelines with observability built in from day one Analyze and visualize data in BI tools to enable informed business decisions and deliver tailored insights to customers Share your work and impact across teams — presenting results, learning from feedback, and continuously improving Who you are We’re excited to meet candidates from all backgrounds who are eager to learn, grow, and make an impact. Here are a few things that will help you thrive in this role: A proven ability to translate complex information into clear, actionable insights — and to collaborate effectively across teams Fluency with Python, SQL, and other relevant technologies Experience building advanced data infrastructure in AWS using Terraform Strong analytical thinking and hands-on experience with data visualization tools Some things that are not required, but you could learn on the job: Working with healthcare data standards (including HL7, FHIR, OMOP, and HPO) Understanding marketing data from platforms like Google and Meta Deepening your expertise in HIPAA compliance and data security best practices As with all new hires at Probably Genetic, you will also need to be: A good person. We work with some of the most marginalized populations on the planet and empathy is key Patient-focused and motivated to have a lasting, positive impact on humanity Comfortable in a fast-paced, often ambiguous environment with rapid change Action-oriented and excited to build a company from the ground up The salary range for this role is $150,000-$210,000 annually. Actual compensation offered will depend on several factors including but not limited to: work experience, education, skill level, and/or other business and organizational needs. This is a hybrid role that will requires working on-site 3 days a week (Tuesday, Wednesday, Thursday) in San Francisco and we are open to relocation. What we offer at Probably Genetic: An engaging and supportive team all on a mission to improve lives Fair and equitable compensation with co

About Probably Genetic Probably Genetic is changing the lives of patients living with severe, complex diseases. Our data platform is used by drug developers and patient advocacy groups to develop and launch treatments for these patients. Our technology discovers undiagnosed patients online, analyzes their disease state using machine learning and at-home testing, and enables compliant communication with patients. In doing so, we help patients access diagnoses, clinical trials, and treatments as early as possible. We are a tight-knit group of hard-working, ambitious problem solvers united by a mission greater than ourselves. We do well by doing right by patients. We are developing some of the most cutting-edge solutions in healthcare, and our roadmap is packed with innovations in bioinformatics, AI, and drug development. We have built a lean, all-star team to help us bring our vision to life, and we want you to be a part of it. Probably Genetic has raised multiple rounds of funding from Silicon Valley’s best investors, including Threshold, Khosla, and Y Combinator, and offer competitive salaries, comprehensive benefits, and meaningful early stage equity. About the role We are looking for a Patient Experience Specialist who will serve as a frontline resource and compassionate guide for patients navigating their genetic testing journey with Probably Genetic. What you will do Patient Support & Communication Respond to inbound patient inquiries across email, chat, phone, and social media within established response time targets Conduct outbound calls and follow-ups with patients to support task completion, re-engagement Monitor the shared operational inbox and escalate patient issues to the appropriate internal team (Product, Engineering, Clinical, or Lab partners) Provide clear, human guidance to patients at every stage of their journey — from initial inquiry through receiving their results Issue Resolution & Documentation Document patient issues accurately and follow through on escalations until resolution Follow established SOPs to troubleshoot common patient scenarios, flag when processes need updating, and implement improvements where appropriate Proactively track open cases to ensure nothing falls through the cracks Surface recurring patient pain points and trends to the Patient Success Manager, Product, and Engineering teams Cross-Functional Collaboration Coordinate with clinical and laboratory partners to resolve patient-facing issues Contribute to a culture of continuous improvement — we're always looking for better ways to serve patients Who you are We are looking for a few specific things that will help you succeed in this role: Undeniable patient-first mindset — you genuinely care about the people on the other end of every interaction Strong written and verbal communication skills; you write the way a caring human talks, not like a corporate FAQ Comfort managing multiple channels and competing priorities without losing composure or quality Experience with patient or customer support platforms, particularly Zendesk Organized and thorough — you follow through, close loops, and nothing slips Startup agility and a scrappy approach to getting the work done Some things that are not required, but you will learn on the job: Familiarity with genetic testing, rare disease, or clinical workflows Knowledge of HIPAA and patient data privacy best practices Experience with support automation or workflow tooling Familiarity with tools like Claude/OpenAI Codex, Twilio, HubSpot, Iterable, or social media management platforms As with all new hires at Probably Genetic, you will also need to be: A good person. We work with some of the most marginalized populations on the planet and empathy is key Patient-focused and motivated to have a lasting, positive impact on humanity Comfortable in a fast-paced, often ambiguous environment with rapid change Action-oriented and excited to build a

About Probably Genetic Probably Genetic is changing the lives of patients living with severe, complex diseases. Our data platform is used by drug developers and patient advocacy groups to develop and launch treatments for these patients. Our technology discovers undiagnosed patients online, analyzes their disease state using machine learning and at-home testing, and enables compliant communication with patients. In doing so, we help patients access diagnoses, clinical trials, and treatments as early as possible. We are a tight-knit group of hard-working, ambitious problem solvers united by a mission greater than ourselves. We do well by doing right by patients. We are developing some of the most cutting-edge solutions in healthcare, and our roadmap is packed with innovations in bioinformatics, AI, and drug development. We have built a lean, all-star team to help us bring our vision to life, and we want you to be a part of it. Probably Genetic has raised multiple rounds of funding from Silicon Valley’s best investors, including Threshold, Khosla, and Y Combinator, and offer competitive salaries, comprehensive benefits, and meaningful early stage equity. About the role We are looking for a Patient Experience Specialist who will serve as a frontline resource and compassionate guide for patients navigating their genetic testing journey with Probably Genetic. What you will do Patient Support & Communication Respond to inbound patient inquiries across email, chat, phone, and social media within established response time targets Conduct outbound calls and follow-ups with patients to support task completion, re-engagement Monitor the shared operational inbox and escalate patient issues to the appropriate internal team (Product, Engineering, Clinical, or Lab partners) Provide clear, human guidance to patients at every stage of their journey — from initial inquiry through receiving their results Issue Resolution & Documentation Document patient issues accurately and follow through on escalations until resolution Follow established SOPs to troubleshoot common patient scenarios, flag when processes need updating, and implement improvements where appropriate Proactively track open cases to ensure nothing falls through the cracks Surface recurring patient pain points and trends to the Patient Success Manager, Product, and Engineering teams Cross-Functional Collaboration Coordinate with clinical and laboratory partners to resolve patient-facing issues Contribute to a culture of continuous improvement — we're always looking for better ways to serve patients Who you are We are looking for a few specific things that will help you succeed in this role: Undeniable patient-first mindset — you genuinely care about the people on the other end of every interaction Strong written and verbal communication skills; you write the way a caring human talks, not like a corporate FAQ Comfort managing multiple channels and competing priorities without losing composure or quality Experience with patient or customer support platforms, particularly Zendesk Organized and thorough — you follow through, close loops, and nothing slips Startup agility and a scrappy approach to getting the work done Some things that are not required, but you will learn on the job: Familiarity with genetic testing, rare disease, or clinical workflows Knowledge of HIPAA and patient data privacy best practices Experience with support automation or workflow tooling Familiarity with tools like Claude/OpenAI Codex, Twilio, HubSpot, Iterable, or social media management platforms As with all new hires at Probably Genetic, you will also need to be: A good person. We work with some of the most marginalized populations on the planet and empathy is key Patient-focused and motivated to have a lasting, positive impact on humanity Comfortable in a fast-paced, often ambiguous environment with rapid change Action-oriented and excited to build a

About Probably Genetic Probably Genetic is changing the lives of patients living with severe, complex diseases. Our data platform is used by drug developers and patient advocacy groups to develop and launch treatments for these patients. Our technology discovers undiagnosed patients online, analyzes their disease state using machine learning and at-home testing, and enables compliant communication with patients. In doing so, we help patients access diagnoses, clinical trials, and treatments as early as possible. We are a tight-knit group of hard-working, ambitious problem solvers united by a mission greater than ourselves. We do well by doing right by patients. We are developing some of the most cutting-edge solutions in healthcare, and our roadmap is packed with innovations in bioinformatics, AI, and drug development. We have built a lean, all-star team to help us bring our vision to life, and we want you to be a part of it. Probably Genetic has raised multiple rounds of funding from Silicon Valley’s best investors, including Threshold, Khosla, and Y Combinator, and offer competitive salaries, comprehensive benefits, and meaningful early stage equity. About the role We are looking for a Senior Data Scientist who will own some of the most consequential diagnostic AI in rare disease: building, validating, and operationalizing the models that help us find and diagnose patients who have never had a name for their disease, powering the analytical rigor behind our testing programs, and shaping how we use data to make smarter product decisions. What you will do Own the end-to-end development, validation, and operationalization of PG's predictive diagnostic AI models — from feature engineering through production deployment – that power program eligibility decisions and clinical decisions for patients Run prospective testing experiments: apply diagnostic models to undiagnosed patients, coordinate testing, and track outcomes to continuously improve model performance Build and maintain PG's synthetic patient data pipeline, a critical deliverable for our research programs, and key input to our own model development lifecycle Optimize our patient intake experience using NLP and multimodal data analysis to determine which questions to ask, in what order, to maximize data quality and conversion Own API usage and cost optimization across PG's AI stack, including prompt engineering, model evaluation, and ongoing performance monitoring Conduct ad hoc strategic analyses that inform product prioritization, causality assessment, and generate customer-facing program insights Establish MLOps infrastructure: model monitoring, drift detection, API observability, and lightweight but durable operational processes Have the freedom to conduct blue sky research initiatives aimed at creating value from our data Work with Data Engineering to build a robust, scalable data foundation that supports all of the above Who you are We are looking for a few specific things that will help you succeed in this role: 7+ years of experience in data science, machine learning engineering, or a closely related field Strong Python proficiency and fluency across the core data science stack: pandas, NumPy, scikit-learn, PySpark, and SQL Demonstrated end-to-end ML experience: you have taken models from problem definition through feature engineering, validation, deployment, and monitoring in a production environment Experience with NLP techniques and applying language models to real-world problems Comfort with prompt engineering and evaluating external AI API performance (e.g., OpenAI) A track record of operating with high ownership in lean, fast-moving environments where you have had to build structure as much as execute within it Strong analytical communication skills — you can translate complex model outputs and data findings into clear, actionable narratives for technical and non-technical audiences alike Some things that are not required,

About Probably Genetic Probably Genetic is changing the lives of patients living with severe, complex diseases. Our data platform is used by drug developers and patient advocacy groups to develop and launch treatments for these patients. Our technology discovers undiagnosed patients online, analyzes their disease state using machine learning and at-home testing, and enables compliant communication with patients. In doing so, we help patients access diagnoses, clinical trials, and treatments as early as possible. We are a tight-knit group of hard-working, ambitious problem solvers united by a mission greater than ourselves. We do well by doing right by patients. We are developing some of the most cutting-edge solutions in healthcare, and our roadmap is packed with innovations in bioinformatics, AI, and drug development. We have built a lean, all-star team to help us bring our vision to life, and we want you to be a part of it. Probably Genetic has raised multiple rounds of funding from Silicon Valley’s best investors, including Threshold, Khosla, and Y Combinator, and offer competitive salaries, comprehensive benefits, and meaningful early stage equity. About the role We are looking for a Senior Data Scientist who will own some of the most consequential diagnostic AI in rare disease: building, validating, and operationalizing the models that help us find and diagnose patients who have never had a name for their disease, powering the analytical rigor behind our testing programs, and shaping how we use data to make smarter product decisions. What you will do Own the end-to-end development, validation, and operationalization of PG's predictive diagnostic AI models — from feature engineering through production deployment – that power program eligibility decisions and clinical decisions for patients Run prospective testing experiments: apply diagnostic models to undiagnosed patients, coordinate testing, and track outcomes to continuously improve model performance Build and maintain PG's synthetic patient data pipeline, a critical deliverable for our research programs, and key input to our own model development lifecycle Optimize our patient intake experience using NLP and multimodal data analysis to determine which questions to ask, in what order, to maximize data quality and conversion Own API usage and cost optimization across PG's AI stack, including prompt engineering, model evaluation, and ongoing performance monitoring Conduct ad hoc strategic analyses that inform product prioritization, causality assessment, and generate customer-facing program insights Establish MLOps infrastructure: model monitoring, drift detection, API observability, and lightweight but durable operational processes Have the freedom to conduct blue sky research initiatives aimed at creating value from our data Work with Data Engineering to build a robust, scalable data foundation that supports all of the above Who you are We are looking for a few specific things that will help you succeed in this role: 7+ years of experience in data science, machine learning engineering, or a closely related field Strong Python proficiency and fluency across the core data science stack: pandas, NumPy, scikit-learn, PySpark, and SQL Demonstrated end-to-end ML experience: you have taken models from problem definition through feature engineering, validation, deployment, and monitoring in a production environment Experience with NLP techniques and applying language models to real-world problems Comfort with prompt engineering and evaluating external AI API performance (e.g., OpenAI) A track record of operating with high ownership in lean, fast-moving environments where you have had to build structure as much as execute within it Strong analytical communication skills — you can translate complex model outputs and data findings into clear, actionable narratives for technical and non-technical audiences alike Some things that are not required,

About Probably Genetic Probably Genetic is changing the lives of patients living with severe, complex diseases. Our data platform is used by drug developers and patient advocacy groups to develop and launch treatments for these patients. Our technology discovers undiagnosed patients online, analyzes their disease state using machine learning and at-home testing, and enables compliant communication with patients. In doing so, we help patients access diagnoses, clinical trials, and treatments as early as possible. We are a tight-knit group of hard-working, ambitious problem solvers united by a mission greater than ourselves. We do well by doing right by patients. We are developing some of the most cutting-edge solutions in healthcare, and our roadmap is packed with innovations in bioinformatics, AI, and drug development. We have built a lean, all-star team to help us bring our vision to life, and we want you to be a part of it. Probably Genetic has raised multiple rounds of funding from Silicon Valley’s best investors, including Threshold, Khosla, and Y Combinator, and offer competitive salaries, comprehensive benefits, and meaningful early stage equity. About the Role We are looking for a Senior Software Engineer who will contribute to the design and implementation of our AI-enabled patient experience, genetic sequencing workflows, and help enable the critical infrastructure needed to support a world-class patient intelligence platform. Come build with us and make a real difference in the lives of our patients! What you will do Work across teams to rapidly transform key requirements into front-end releases that meaningfully improve how patients engage with our product Create APIs, laboratory integrations, bioinformatic tooling, and ML infrastructure using Python, Django, PostgreSQL databases, and AWS services Develop the phenotyping product and biotech data platform frontends in React & Typescript Regularly review your team’s pull requests and technical proposal documents to maintain high standards and architectural quality Present your work to relevant stakeholders, monitoring outcomes, and integrating patient feedback Contribute to a culture of continuous improvement at a high velocity by optimizing development processes Own business goals and writing technical design specifications to find more patients, grow revenue, and increase margins Collaborate with Product and other business teams to implement solutions which drive customer value Work with cross-functional stakeholders to refine business processes and develop software to automate those processes Who you are We are looking for a few specific things that will help you succeed in this role: Proven experience developing full-stack applications, with a front-end focus and a passion for shipping high quality code at velocity Experience in a range of software languages and frameworks included in our tech stack: Experience designing and building scalable systems used by external users Track-record of solving extremely difficult, ambiguous problems Excellent communication skills with ability to can convey your ideals clearly to engineers and non-engineers alike! Some things that are not required, but you will learn on the job: Expertise with healthcare data, bioinformatics, genetics, ML infrastructure, or growth marketing Expertise in HIPAA compliance and security best practices Expertise in product development practices such as user interviews and product analytics As with all new hires at Probably Genetic, you will also need to be: A good person. We work with some of the most marginalized populations on the planet and empathy is key. Patient-focused and motivated to have a lasting, positive impact on humanity. Comfortable in a fast-paced, often ambiguous environment with rapid change. Action-oriented and excited to build a company from the ground up. The salary range for this role is $150,000-$210,000 annually. Actual compens

About Probably Genetic Probably Genetic is changing the lives of patients living with severe, complex diseases. Our data platform is used by drug developers and patient advocacy groups to develop and launch treatments for these patients. Our technology discovers undiagnosed patients online, analyzes their disease state using machine learning and at-home testing, and enables compliant communication with patients. In doing so, we help patients access diagnoses, clinical trials, and treatments as early as possible. We are a tight-knit group of hard-working, ambitious problem solvers united by a mission greater than ourselves. We do well by doing right by patients. We are developing some of the most cutting-edge solutions in healthcare, and our roadmap is packed with innovations in bioinformatics, AI, and drug development. We have built a lean, all-star team to help us bring our vision to life, and we want you to be a part of it. Probably Genetic has raised multiple rounds of funding from Silicon Valley’s best investors, including Threshold, Khosla, and Y Combinator, and offer competitive salaries, comprehensive benefits, and meaningful early stage equity. About the role We are looking for a Solutions Architect who will own the end-to-end customer relationship for biopharma partners: serving as a primary point of contact, delivering proactive insights, and translating customer needs into product improvements that drive retention and growth. What you will do Own the full post-sale customer relationship for key biopharma accounts, serving as key point of contact, ensuring every customer receives a consistent, high-quality experience Establish and run a regular cadence of customer check-ins, proactively surfacing insights and flagging risks before they become issues Build and maintain a consolidated backlog of customer requests, feedback, and complaints across all accounts, identifying patterns and translating them into actionable product feature requests and roadmap Prepare and deliver polished, data-driven insight packages and presentations for customer stakeholders by turning raw data into clear, compelling narratives Partner closely with the BD and engineering teams to scope and prioritize customer-informed improvements, and serve as the internal voice of the customer Support ownership of the customer-facing product and related customer-facing tooling, contributing to product management and roadmap decisions Build lightweight AI-assisted tools and automations to streamline customer reporting and reduce manual effort over time Collaborate with leadership on account strategy, renewal planning, and expansion opportunities across the biopharma and insurance customer portfolio Who you are We are looking for a few specific things that will help you succeed in this role: 5+ years of experience in customer success, solutions, forward-deployed engineering, product management, or a related client-facing role — ideally in a biopharma, healthtech, or data-driven B2B environment Demonstrated ability to independently manage senior stakeholder relationships at large organizations, including running proactive account cadences and handling escalations Strong data fluency — comfortable working in spreadsheets and ideally with SQL or Python to pull, clean, and package insights without heavy analytical support Excellent written and verbal communication skills, with a track record of producing polished customer-facing deliverables including decks, dashboards and insight summaries AI native — you use AI tools as a core part of your workflow and are comfortable vibe coding lightweight solutions without engineering support Experience translating customer feedback into product requirements and working alongside engineering to deliver improvements Some things that are not required, but you will learn on the job: Familiarity with rare disease, genetics, or the biopharma drug development lifecycle Experience with patient-

About Probably Genetic Probably Genetic is changing the lives of patients living with severe, complex diseases. Our data platform is used by drug developers and patient advocacy groups to develop and launch treatments for these patients. Our technology discovers undiagnosed patients online, analyzes their disease state using machine learning and at-home testing, and enables compliant communication with patients. In doing so, we help patients access diagnoses, clinical trials, and treatments as early as possible. We are a tight-knit group of hard-working, ambitious problem solvers united by a mission greater than ourselves. We do well by doing right by patients. We are developing some of the most cutting-edge solutions in healthcare, and our roadmap is packed with innovations in bioinformatics, AI, and drug development. We have built a lean, all-star team to help us bring our vision to life, and we want you to be a part of it. Probably Genetic has raised multiple rounds of funding from Silicon Valley’s best investors, including Threshold, Khosla, and Y Combinator, and offer competitive salaries, comprehensive benefits, and meaningful early stage equity. About the Role We are looking for a Senior Software Engineer who will contribute to the design and implementation of our AI-enabled patient experience, genetic sequencing workflows, and help enable the critical infrastructure needed to support a world-class patient intelligence platform. Come build with us and make a real difference in the lives of our patients! What you will do Work across teams to rapidly transform key requirements into front-end releases that meaningfully improve how patients engage with our product Create APIs, laboratory integrations, bioinformatic tooling, and ML infrastructure using Python, Django, PostgreSQL databases, and AWS services Develop the phenotyping product and biotech data platform frontends in React & Typescript Regularly review your team’s pull requests and technical proposal documents to maintain high standards and architectural quality Present your work to relevant stakeholders, monitoring outcomes, and integrating patient feedback Contribute to a culture of continuous improvement at a high velocity by optimizing development processes Own business goals and writing technical design specifications to find more patients, grow revenue, and increase margins Collaborate with Product and other business teams to implement solutions which drive customer value Work with cross-functional stakeholders to refine business processes and develop software to automate those processes Who you are We are looking for a few specific things that will help you succeed in this role: Proven experience developing full-stack applications, with a front-end focus and a passion for shipping high quality code at velocity Experience in a range of software languages and frameworks included in our tech stack: Experience designing and building scalable systems used by external users Track-record of solving extremely difficult, ambiguous problems Excellent communication skills with ability to can convey your ideals clearly to engineers and non-engineers alike! Some things that are not required, but you will learn on the job: Expertise with healthcare data, bioinformatics, genetics, ML infrastructure, or growth marketing Expertise in HIPAA compliance and security best practices Expertise in product development practices such as user interviews and product analytics As with all new hires at Probably Genetic, you will also need to be: A good person. We work with some of the most marginalized populations on the planet and empathy is key. Patient-focused and motivated to have a lasting, positive impact on humanity. Comfortable in a fast-paced, often ambiguous environment with rapid change. Action-oriented and excited to build a company from the ground up. The salary range for this role is $150,000-$210,000 annually. Actual compens