Data Scientist, Prenatal

About the role

We are seeking a Data Scientist to join our Prenatal data team. The ideal candidate will be a full-stack data scientist, contributing to the entire analytics value chain, from data ingestion to analysis and dashboard development.

Responsibilities

• Contribute across the full analytics stack for Prenatal, including ingesting data from disparate sources into our central data warehouse, building clean and well-tested data models, and delivering analyses, dashboards, and tooling that stakeholders can use directly.
• Partner with stakeholders across the business to answer high-stakes questions with data, such as helping the lab improve turnaround time, identifying at-risk accounts, and supporting clinical affairs with data on samples and outcomes.
• Build and maintain the central analytical data warehouse that aggregates data from across the organization, while partnering with teams who own their own operational systems.
• Use AI tools to accelerate your own work, build HIPAA-compliant AI-powered analysis workflows, and help colleagues across the organization adopt AI to improve their productivity.
• Develop and maintain Tableau dashboards and self-serve analytics that turn data into action for clinical, commercial, and operational teams.

Qualifications

• Master's or PhD with 2 years of work experience, OR Bachelor's degree with 4 years of work experience, in data science, analytics engineering, or a related data role.
• Strong proficiency in SQL and Python (or R) for data manipulation and analysis.
• Comfort working with messy, disparate data sources and the judgment to know when to clean, when to re-model, and when to push upstream.
• Experience working with clinical, healthcare, or other regulated data.
• Hands-on experience using AI tools to enhance your work, and an interest in helping others do the same.
• Excellent communication skills and the ability to partner directly with non-technical stakeholders to scope problems and deliver useful answers.
• A strong sense of ownership: you are comfortable working directly with stakeholders and treat data quality and stakeholder outcomes as part of your job.

Nice-to-haves

• Familiarity with any of the tools we use: dbt, Airflow, Tableau, Stitch, Hightouch, Cursor, Claude, ChatGPT, AWS (S3, Batch, RDS, MWAA), and Clarity.
• Familiarity with bioinformatics, molecular diagnostics, or the broader healthcare landscape, including the lab sales cycle, prior authorization, and reimbursement.

Benefits and Perks

• Open, transparent culture with weekly Town Hall meetings.
• Generous medical benefit options, with employee premiums paid 100% of select plans, and dependents covered up to 80%.
• Extremely generous family bonding leave for eligible employees (16 weeks, paid at 100%).
• Supplemental fertility benefits coverage.
• Retailer-funded retirement savings program with a 4% Company match.
• Free daily on-site lunches provided from top eateries.
• A variety of perks on campus, including a state-of-the-art gym and restaurant.
• Free on-site EV charging (compatible with all EVs, including Tesla).

Pay and Schedule

The total compensation package for this position is $226,855 per year, including a base pay range of $139,340 - $160,777 per year.

Schedule

Full-time position.