ProcDNA

Biopharma-focused commercial analytics and consulting

Data Scientist - Analytics

Data ScienceConfirmed live in the last 24 hours

Full-timePrinceton, NJ, USANo salary listedIn-person

About the Job

Requirements

A Master's degree or higher in a quantitative field with a strong academic record.
Five to seven years of relevant data science experience focused on advanced analytics and applied machine learning.
A strong applied statistical foundation for building and evaluating models.
Strong experience with machine learning and artificial intelligence modeling concepts and practical application across multiple projects.
Expertise in Structured Query Language and strong fluency with relational datasets.
Extensive Python or R experience for analysis and modeling.
Excellent verbal and written communication skills with a strong client-facing presence.
A strong problem-solving mindset, attention to detail, and the ability to independently manage dynamic, multi-stakeholder workstreams.

Responsibilities

Drive end-to-end data science projects, including problem framing, exploratory data analysis, feature development, and model development and validation, while leading approach decisions and tradeoffs.
Build internal product offerings and reusable accelerators, including packaged modeling workflows and internal machine learning and artificial intelligence products.
Set and enforce standards for rigor, documentation, and reproducibility across the workstream, ensuring outputs are audit-ready and client-ready.
Lead client discussions and presentations, translating technical results into clear business outcomes.
Partner with data and engineering teams to operationalize outputs, including repeatable pipelines, handoffs, and monitoring considerations.

About ProcDNA
ProcDNA is a global rocket ship in life sciences consulting. We fuse design thinking with cutting-edge tech to create game-changing Commercial Analytics and Technology solutions for our clients. We're a passionate team of 450+ across 9 offices, all growing and learning together since our launch during the pandemic. Here, you won't be stuck in a cubicle - you'll be out in the open water, shaping the future with brilliant minds. Ready to join our epic growth journey?
What we are looking for
ProcDNA is seeking a Data Scientist to join our team. The ideal candidate brings deep experience leading advanced analytics and machine learning work in the pharma industry and can translate complex business problems into clear analytical strategies. You are comfortable owning end-to-end delivery, leading client conversations, mentoring teams, and shaping internal product offerings that can be scaled across engagements.
What you will do

Drive end-to-end data science projects, including problem framing, exploratory data analysis, feature development, and model development and validation, taking lead on approach decisions and tradeoffs.
Build internal product offerings and reusable accelerators, such as packaged modeling workflows and internal ML and AI products.
Set and enforce standards for rigor, documentation, and reproducibility across the workstream, ensuring outputs are audit-ready and client-ready
Lead client discussions and presentations, translating technical results into clear business wins.
Partner with data and engineering teams as needed to operationalize outputs, including repeatable pipelines, handoffs, and monitoring considerations

Must Have

Master’s degree or higher in a quantitative field with a strong academic record.
5-7 years of relevant experience in data science with a focus on advanced analytics and applied ML.
Strong applied Statistical foundation for building and evaluating models
Strong experience with ML and AI modeling concepts and practical application across multiple projects. Expertise in SQL and strong fluency with relational datasets.
Extensive Python or R experience for analysis and modeling.
Excellent communication skills, verbal and written, with strong client-facing presence.
Strong problem-solving mindset, detail orientation, and ability to independently manage dynamic, multi stakeholder workstreams.

About the Company

ProcDNA

Biopharma-focused commercial analytics and consulting

ProcDNA focuses on commercial analytics and technology consulting for life sciences and biopharma. It helps clients turn data into actionable insights through analytics, technology, and data science services, including specialized offerings like Auxo HCP 360 for data management, marketing, and customer relationship optimization. The company delivers tailored solutions in areas such as commercial planning, market assessment, and patient journey quantification, enabling precise business decisions and growth. What sets ProcDNA apart is its deep expertise in market access analytics, sales strategy, and campaign ROI, backed by a leadership team with over a century of combined experience, a track record with 25 clients across 40 disease indications, and a presence in five office locations. The overarching goal is to drive growth for biopharma clients by turning complex data into clear, strategic actions.

Company size: 201-500
Company stage: Not listed
Total funding: Not listed
Headquarters: South San Francisco, CA
Founded: 2019

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