[All remote jobs](https://jobicy.com/jobs.md)[![Ataraxis AI logo](https://jobicy.com/data/server-nyc0409/galaxy/mercury/2025/06/4786fdef-221.png)](https://jobicy.com/company/ataraxis-ai.md)[Ataraxis AI](https://jobicy.com/company/ataraxis-ai.md) # Head of Business Development Review the role, location requirements, compensation details, and application process before deciding whether this opportunity fits your next career move. [Apply for this job](#job-application)[View company](https://jobicy.com/company/ataraxis-ai.md)ShareRemote from[USA](https://jobicy.com/job-region/usa.md)SalaryUSD 100k–300k / yrDepartment[Business Development](https://jobicy.com/categories/business.md)EmploymentFull TimeExperienceSeniorPublished5 Oct 2026Apply before4 Nov 2026Listing views20Application actions0Application toolkit ## Make your next move. Prepare your resume, explore your fit, and draft a cover letter for this opportunity. AI Summary ## The role, at a glance. Ataraxis AI is seeking a Head of Business Development to establish and own its pharmaceutical-partnership revenue stream alongside its diagnostics business. The role will identify oncology-pharma targets, develop partnership use cases for clinical AI, lead outreach and negotiations, and bring agreements through signature. This leader will collaborate closely with research, clinical, product, legal, and the CEO on deal strategy, forecasting, and commitments. The ideal candidate has 8+ years of pharma or diagnostics business-development experience, an active oncology network, and a record of advancing companion diagnostic, biomarker, or patient-stratification partnerships. Strong scientific fluency and the ability to translate complex AI capabilities for clinical, scientific, and commercial stakeholders are central to success. ## Role DNA A quick view of the complexity, pace, ownership and collaboration implied by the job description. ### Job Complexity 5/5EasyHard ### Pace & Pressure 5/5RelaxedFast-paced ### Autonomy Level 5/5GuidedFull ownership ### Communication Load 5/5IndependentCollaborative AI insightThis is a senior, zero-to-one commercial leadership role requiring the candidate to build a pipeline and partnership motion from the ground up. Success depends on navigating complex pharma decision units, negotiating technically sophisticated deals, and aligning internal scientific, clinical, legal, and business stakeholders. ## Salary analysis Estimated compensation compared with the broader US market for similar roles. Estimated job medianMarket rate$200,000US market range$180k–$300k0$330k AI insightThe disclosed annual compensation range is USD 100,000 to USD 300,000, with a midpoint of USD 200,000. For a US-based Head of Business Development in clinical AI, diagnostics, and pharmaceutical partnerships, an estimated competitive market base/total-cash range is approximately USD 180,000 to USD 300,000 annually; final compensation may vary materially based on deal experience, network strength, variable incentive design, and equity. ## Core skills Skills and capabilities most closely associated with this opportunity. [Pharmaceutical business development](https://jobicy.com/jobs?search_keywords=Pharmaceutical%20business%20development.md)[Strategic partnerships](https://jobicy.com/jobs?search_keywords=Strategic%20partnerships.md)[Oncology](https://jobicy.com/jobs?search_keywords=Oncology.md)[Companion diagnostics](https://jobicy.com/jobs?search_keywords=Companion%20diagnostics.md)[Biomarker discovery](https://jobicy.com/jobs?search_keywords=Biomarker%20discovery.md)[Patient stratification](https://jobicy.com/jobs?search_keywords=Patient%20stratification.md)[Clinical AI](https://jobicy.com/jobs?search_keywords=Clinical%20AI.md)[Deal negotiation](https://jobicy.com/jobs?search_keywords=Deal%20negotiation.md)[Pipeline development](https://jobicy.com/jobs?search_keywords=Pipeline%20development.md)[Life sciences](https://jobicy.com/jobs?search_keywords=Life%20sciences.md) Sample interview questionsDescribe a pharma or diagnostics partnership that you led or materially advanced from initial outreach through execution.I would outline the target account, unmet clinical or development need, stakeholder map, value proposition, commercial structure, obstacles, and measurable outcome. I would clearly distinguish my individual contribution, especially how I built consensus and moved the agreement to signature. How would you build Ataraxis's pharmaceutical-partnership pipeline in your first six months? I would segment oncology pharma accounts by pipeline relevance, biomarker and companion-diagnostic needs, trial-risk exposure, and likelihood of adopting AI-enabled evidence. I would develop account maps, prioritize a small set of high-conviction opportunities, validate use cases with internal scientific leaders, and run a measurable outreach, discovery, proposal, and forecast cadence with the CEO. How do you translate a complex clinical AI model for scientific, clinical, and commercial pharma stakeholders? I tailor the narrative to the audience while preserving scientific rigor. For scientists, I focus on validation, endpoints, data provenance, and limitations; for clinicians, I focus on patient impact and workflow relevance; for business leaders, I connect the capability to development timelines, trial efficiency, differentiation, risk reduction, and economic value. What factors determine whether a pharmaceutical partnership receives internal funding and approval? I assess strategic alignment with the asset portfolio, evidence strength, ownership of the relevant budget, expected clinical and commercial value, operational feasibility, legal and regulatory risk, and executive sponsorship. I map the decision process early and create materials that help the internal champion make a clear investment case. How would you handle a prospective partner requesting commitments that exceed Ataraxis's current product or research capacity? I would clarify the desired outcome and separate essential requirements from negotiable scope. Then I would work with research, clinical, product, and legal teams to define a feasible phased engagement, establish acceptance criteria and governance, and avoid committing to unvalidated capabilities or timelines. Opportunity details ## About this role. ### About Ataraxis AI Ataraxis is a clinical AI research lab working at the intersection of multi-modal AI and precision medicine. Our goal is to make disease predictable. To accomplish this, we develop new AI methods that predict patient outcomes and treatment response, and build clinical tools to assist physicians in selecting the most optimal treatments for their patients. Our AI research lab discovers and develops methods to recognize patterns and predict outcomes across complex, multi-modal clinical data. This spans our [causality](https://www.ataraxis.ai/research-causality) (Ataraxis™ Tau), [foundation model](https://www.ataraxis.ai/research---representation-learning) (Falcon and Kestrel for digital pathology), and [survival analysis](https://www.ataraxis.ai/research-survival-analysis) research. Our first clinical products, such as [Ataraxis™ Breast](https://www.ataraxis.ai/ataraxis-breast-overview) for breast cancer, already help patients get the most appropriate treatment across the best academic institutions and community clinics worldwide. At Ataraxis, you will have a unique opportunity to shape not only the future of our company, but also the future of healthcare. You will join an exceptional team at the forefront of clinical AI research and deployment. Our advisors include AI pioneers such as our founding advisor, Yann LeCun, and distinguished oncologists from top cancer research institutions, all united by the mission to redefine precision medicine. Ataraxis has raised over $24 million in funding, including a $20 million Series A led by top venture capital funds such as Thiel Capital/Founders Fund (OpenAI, SpaceX, Palantir), Obvious Ventures (AMI Labs, Inceptive, Radical Numerics, Recursion), and AIX Ventures (Hugging Face, Perplexity). We are an company with a flat organizational structure, where every team member is empowered to actively contribute. Leadership roles are earned by those who demonstrate initiative and consistently deliver exceptional results. Strong work ethic and the ability to prioritize ruthlessly are essential. ### Responsibilities You will build Ataraxis’s pharma partnership business from the ground up. Ataraxis has developed prognostic and predictive AI models validated in breast cancer, with potential applications across drug development, such as companion diagnostics, biomarker discovery, patient stratification, and trial rescue. This role owns pharma as a revenue stream alongside our diagnostics business. In that process, you will: * Identify target companies, map the decision unit inside each, run outreach, and lead negotiations to signature. * Construct novel applications of our technology against each company’s development pipeline and translate them for scientific, clinical, and business audiences. * Build and maintain relationships with the people inside pharma who sponsor and fund partnerships. * Bring pharma priorities and unmet needs back to our research and product teams. * Work with research, clinical, product, and legal to scope what we commit to, structure the terms, and get agreements signed. * Work directly with the CEO on pipeline, forecast, and deal strategy. ### Qualifications * 8+ years in pharma and/or diagnostics business development, from inside pharma or from a diagnostics or technology company selling into pharma. * Preferred: MD, PhD, PharmD, NP, or a Master’s degree in cancer biology, molecular biology, cell biology, biomedical sciences, pharmacology, pharmaceutical sciences, or a related life sciences field. * Documented track record of leading or co-leading pharma deals in companion diagnostics, biomarkers, patient stratification, or similar. If you did not formally lead one, we want evidence you were pivotal in getting it done. * Built a pharma partnership pipeline from scratch, or decided from the pharma side which partnerships got funded. * Fluency in how pharma makes partnership decisions: who decides, where the budget sits within a business unit, and how deals actually get pushed through. * Relationships across large and mid-cap oncology pharma that you can activate now. * Comfortable doing deep on technical material, with a history of finding non-obvious applications for it. * Bias for action. 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