Senior Data Scientist, CMC

Praxis

. Build, validate, and deploy mechanistic, hybrid, and data-driven models supporting drug substance, drug product, packaging, labeling, technology transfer, and manufacturing processes.

Posted 10/9/2026full-timeRemote • United StatesSenior💰 $150,000 - $170,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Expertise in process modeling, data-driven decision-making, and analytics within the biotech and pharmaceutical sectors, with a strong foundation in Python, SQL, and data visualization tools. Proven ability to collaborate across functions and mentor colleagues while adhering to regulatory standards and driving technology transfer initiatives.

Highest-signal resume keywords

Process ModelingData-Driven Decision-MakingPython ProgrammingSQL ProficiencyDatabricks Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Process DevelopmentStatistical AnalysisPredictive ModelingScenario AnalysisCost-Benefit AnalysisAI/ML ApplicationData Integrity ControlsForecastingDoECGMP Knowledge

Soft Skills

Problem SolvingClear CommunicationSelf-DirectionRelationship BuildingIntellectual Curiosity

Tools & Technologies

DatabricksPower BITableauSpotfireGxP-Validated Systems

Industry Keywords

BiotechPharmaceuticalCMC Regulatory ExpectationsALCOA+Technology Transfer

Tech Stack

Tools & technologies

PythonSQLTableau

About the role

Key responsibilities & impact

Build, validate, and deploy mechanistic, hybrid, and data-driven models supporting drug substance, drug product, packaging, labeling, technology transfer, and manufacturing processes.
Translate DoE, PAT, IPC, batch record, and other process data into predictive models and analytics that inform process understanding, control strategy, risk assessment, and phase-appropriate decisions.
Build analytics for blending, granulation, compression, coating, fill/finish, packaging, and labeling operations, including yield, throughput, readiness, and supply-chain scenario analysis.
Develop and maintain pipelines and FAIR data products integrating internal and CRO/CDMO data into traceable, reusable datasets within Databricks and related platforms.
Develop dashboards and visualizations for technical and executive audiences.
Serve as digital product owner for process modeling and technology-transfer analytics, defining priorities and driving adoption.
Apply AI/ML, including agentic workflows and LLM-based tools, to accelerate CMC data review, knowledge capture, and routine analytical work with validation and data-integrity controls.
Use forecasting, scenario analysis, and cost-benefit analysis to improve right-first-time execution and shorten technology-transfer timelines.
Present recommendations to stakeholders, contribute to CMC data science strategy and regulatory filings, and mentor colleagues in data science and modeling practices.
Collaborate with Engineering, Process Chemistry, Formulation, Analytical Development, Quality, Data Science, and external CDMOs.

Requirements

What you’ll need

Master’s degree in Chemical Engineering, Pharmaceutical Sciences, Data Science, or a related scientific or engineering field, with demonstrated application of data science to process development; Bachelor’s degree with equivalent experience will be considered.
5+ years of relevant experience in biotech/pharma process development, process engineering, or data science, ideally supporting drug substance and/or drug product development or technology transfer.
Experience with process modeling, DoE, statistical analysis, and data-driven decision-making.
Strong hands-on skills in Python and SQL.
Experience using Databricks or comparable data platforms and BI/visualization tools such as Power BI, Tableau, or Spotfire.
Working knowledge of cGMP, ALCOA+, CMC regulatory expectations, and GxP-validated computerized systems.
Demonstrated ability to solve ambiguous problems, communicate complex ideas clearly, work with self-direction, and build trusted relationships across functions.
Intellectual curiosity, creativity, innovation, organization, attention to detail, and a strong bias toward high-quality results.
Willingness and flexibility to travel as needed.

Benefits

Comp & perks

99% of the premium paid for medical, dental and vision plans
Company-paid life insurance, AD&D, and disability benefits
Voluntary plans to personalize coverage
Dollar-for-dollar 401(k) match up to 6% on eligible contributions
Long-term stock incentives and ESPP
Discretionary quarterly bonus
Extremely flexible wellness benefit
Generous PTO
Paid holidays
Company-wide shutdowns