We are looking for a field-based professional Oncology Account Executive, Cincinnati with scientific and clinical expertise to support our oncology portfolio of liquid biopsy products. The position is responsible for driving sales volume for BillionToOne’s Northstar Liquid biopsy products and services, while cultivating relationships with oncologists and other members of the extended cancer care community in the designated geography. The Oncology Account Executive is a field based position and reports to a Regional Manager - Oncology.

Responsibilities:

• Increasing revenue and driving market development through direct sales to individual Oncologists
• Creating and implementing a strategic business plan to grow revenue quickly in your geography
• Sales efforts include effective prospecting and cultivating new business and maintaining key relationships

Qualifications:

• Bachelor's Degree or equivalent experience 
• Demonstrated successful sales track record (e.g., Presidents club, Chairman's club, Rookie of the Year, or a history of success - at or above goal for multiple quarters/years)
• Experience selling to medical providers
• Experience selling medical diagnostics, medical or surgical devices
• Lives within the defined territory and centrally located to defined accounts 
• Commitment to travel within defined territory 
• Excellent organizational and communication skills (written and verbal) with demonstrated ability to effectively present to both internal and external customers
• Effective time management skills required with a demonstrated ability to assess and prioritize opportunity required
• Exceptionally bright, flexible, self-motivated and results oriented with strong interpersonal and analytical skills and the ability to think strategically as well as execute tactically
• Must act with a sense of urgency, with a focus on closing business
• Ability to assess the needs of medical professionals and staff members with a focus on consultative sales, coordination of logistics, and problem solving
• Strong desire to work in a startup environment and must work independently with an internal drive to be successful

We will also consider candidates with the following backgrounds:

• Physicians Assistant (PA), Nurse Practitioner (NP) or Registered Nurse (RN) with experience ordering late stage cancer liquid biopsy tests

Benefits And Perks:

• Working alongside brilliant, kind, passionate and dedicated colleagues, in an empowering environment, toward a global vision, striving for a future in which transformative molecular diagnostics can help millions of patients
• Open, transparent culture that includes weekly Town Hall meetings
• The ability to indirectly or directly change the lives of hundreds of thousand patients
• Multiple medical benefit options; employee premiums paid 100% of select plans, dependents covered up to 80%
• Extremely generous Family Bonding Leave for new parents (16 weeks, paid at 100%)
• Free UNITY Complete NIPT tests for employees & spouses
• Supplemental fertility benefits coverage 
• Retirement savings program including a 4% Company match
• Increase paid time off with increased tenure
• Latest and greatest hardware (laptop, lab equipment, facilities)

At BillionToOne, we are proud to offer a combination of a (1) base pay + uncapped commissions  (2) generous equity options offering, on top of (3) industry leading company benefits (free healthcare options, 401k match, very generous fully paid parental leave, etc.).

For this position, we offer a total compensation range of $241,946 - $311,536 per year (at plan), including a base salary range of $168,346 - $184,186 per year (based on the level and experience). Commission's potential is uncapped and can be significant.

BillionToOne is an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

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Senior Data Scientist Consultant, SPI – Agent Platform Team

Summary

The Agent Platform Team, within AI Enablement at 84.51°, owns and manages the core platforms that power data science and AI across the organization. This role sits on the SPI (Science Platform Innovation) squad and is focused specifically on the Databricks environment and its evolving AI/ML capabilities.

You will be the bridge between the engineers building and maintaining our Databricks platform and the data scientists who use it every day. You are not building models for end-clients. Instead, you ensure the platform behaves as expected for the people on it—that new capabilities are tested, documented, and adopted smoothly, and that practitioner pain points make it back to the platform team in a way that shapes the roadmap.

You’ll build deep familiarity with Databricks’ infrastructure and AI powered capabilities —including Genie Code, Genie spaces, Agent Bricks, MLflow, and other features as they emerge—as well as the Unity Catalog governance layer that underpins them. You’ll test and evaluate new Databricks features and relevant third-party integrations from the perspective of an end-user, document your findings, and help the team decide what to adopt, how to roll it out, and what to skip.

This is a small, highly collaborative squad. Everyone pitches in on a bit of everything. Priorities shift frequently as the Databricks roadmap evolves. Success in this role is less about fixed technical expertise and more about comfort with ambiguity, good judgment about where to spend your time, and the ability to influence without direct authority.

Responsibilities

• Voice of the practitioner: Serve as the primary liaison between data scientists using Databricks and the platform engineering team. Gather requirements, surface pain points, and translate practitioner needs into actionable feedback that shapes platform decisions and roadmaps.
• Technology evaluation: Lead the testing and evaluation of new Databricks capabilities (e.g., Mosaic AI features, Model Serving enhancements, Genie, new Unity Catalog functionality) and relevant third-party tools. Document findings, recommended use cases, limitations, and rollout considerations. Over time, this may evolve from hands-on beta testing toward designing and coordinating evaluation efforts across groups of practitioners.
• Onboarding & enablement: Write guides, maintain documentation, lead training sessions, and run office hours to help data scientists adopt new platform capabilities. Partner with Learning & Development where appropriate. Serve as a first line of support when teams hit roadblocks.
• Adoption & communication: Evangelize Databricks capabilities to increase awareness and drive adoption. Produce clear release notes, communications, and materials for both technical and non-technical audiences.
• Cross-functional collaboration: Work closely with the solution architect, cloud engineer, and product senior on the squad to ensure proposed technologies have well-defined use cases and that guidelines and best practices are established. Act as a data science ambassador to cross-functional teams, explaining recommended workflows and the reasoning behind platform choices.
• Governance & compliance support: Help validate that new platform capabilities meet enterprise requirements around security, compliance, observability, and data governance (e.g., Unity Catalog lineage, Azure connectivity).

Qualifications & Experience

• Bachelor’s degree in mathematics, statistics, computer science, economics, or a related discipline.
• 2–4 years of experience in data science, AI/ML development, or applied analytics.
• 2–4 years of experience in tech consulting, retail analytics, or related professional services.
• Hands-on experience with Python, SQL, PySpark and Databricks
• Experience gathering user needs, documenting requirements, and driving issues to resolution with technical teams.
• Experience partnering with software engineering and/or product management teams.
• Familiarity with LLMs, prompt engineering, or agentic AI concepts is a strong plus.
• Experience with the Databricks ecosystem (Unity Catalog, MLflow) is a strong plus.
• Exposure to agent frameworks (e.g., LangChain, LangGraph, CrewAI, AutoGen) is a plus.

Skills

• Strong written and verbal communication, including the ability to explain technical concepts clearly to non-technical audiences and produce high-quality documentation.
• Ability to influence across teams and seniority levels without direct authority.
• Comfort operating in ambiguity—priorities shift frequently, and you need good instincts about where to focus.
• Strong project and time management skills; able to manage multiple priorities with minimal oversight.
• Curiosity and enthusiasm for emerging AI technologies and a genuine desire to become a subject matter expert on the Databricks platform and its AI capabilities.

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