Expert/Senior Expert Data Science

Novartis • Cambridge, MA

4d • Onsite

About The Position

We are seeking a talented and motivated Data Scientist to join the Data and Statistical Sciences team within the Novartis Cell and Gene Therapy Scientific Office. The Data and Statistical Sciences team advances Novartis’s goal of bringing safe and efficacious cell and gene therapies to market through supporting development scientists with data infrastructure, analytics, and a vision for the future of digital-enabled therapeutic development. The successful candidate will play a key role in establishing data flows and connections from laboratory systems to data science platforms, advancing our understanding of bioprocesses, and contributing to the optimization and improvement of our development processes.

Requirements

• Expert Level: A minimum of a Bachelor's Degree with 4 years / Masters Degree with 2 years / Recent PhD. A combination of relevant industry experience and education will also be considered. Training and experience demonstrating proficiency in data management will be valued.
• Senior Expert Level: A minimum of Bachelor's Degree with 7 years / Masters Degree with 5 years/ PhD with 2 years of experience or dedicated postdoc / graduate training in the field of bioprocess or data science. A combination of relevant industry experience and education will also be considered. Training and experience demonstrating proficiency in data management will be valued.
• Proficiency in programming languages such as Python or R.
• Strong understanding of modeling and statistical concepts.
• Excellent teamwork and communication skills, with a collaborative and proactive approach to problem-solving.
• Strong analytical and problem-solving skills, with the ability to interpret and communicate findings effectively to both technical and non-technical stakeholders.

Nice To Haves

• Knowledge of bioprocess engineering and biopharmaceutical manufacturing, with optional experience in cell or gene therapy (lentiviral or adenoviral technology).
• Experience with app development platforms like Red Hat OpenShift or Posit Connect is preferred.
• Familiarity with web development technologies including JSON, CSS, and HTML is preferred.
• Experience with tools and platforms commonly used in the biopharmaceutical industry (e.g., JMP/JSL/SAS, SIMCA, AVEVA PI) is strongly preferred.

Responsibilities

• Lead efforts to establish data flows and connections from laboratory systems to our data science platform.
• Drive cross-functional collaboration across various business domains, including IT, engineering, laboratory teams, to identify data sources and develop data extraction methods that ensure data integrity and security.
• Quickly learn the use of tools, data sources, and analytical techniques needed to answer a wide range of critical business and scientific questions.
• Design and implement data pipelines to ingest, clean, and transform raw data for analysis.
• Leverage statistical and machine learning techniques to analyze integrated data sets, both structured and unstructured, extracting valuable insights into biopharmaceutical manufacturing processes.
• Communicate analytical findings to business users through compelling business presentations, interactive visualization tools, and contextual storytelling techniques, ensuring a clear and impactful understanding of the derived insights from data analysis.
• Develop and maintain data models and schemas to support ongoing data analysis and reporting needs.
• Be adaptable in providing support for a wide array of assessments, including process comparability, when necessary.
• Stay abreast of advancements in data technologies and best practices, recommending and implementing improvements to data infrastructure, models, and techniques as needed.
• Actively participate in data projects, defining scope, timelines, and resource allocation, ensuring successful execution.
• Collaborate proactively with team members to plan, anticipate change, manage stakeholders, identify risks, and resolve issues.

Benefits

• US-based eligible employees will receive a comprehensive benefits package that includes health, life and disability benefits, a 401(k) with company contribution and match, and a variety of other benefits.
• In addition, employees are eligible for a generous time off package including vacation, personal days, holidays and other leaves.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees