Expert/Senior Expert Data Science
Role details
Job location
Tech stack
Job description
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., * 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., The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law. On-Site Communication Teamwork Data Analysis Biopharmaceuticals Programming Languages Python (Programming Language) Innovation Problem Solving Stakeholder Management JSON SAS (Software) Data Modeling Data Management Data Integrity Cross-Functional Collaboration Analytical Techniques Data Science Machine Learning HyperText Markup Language (HTML) Cascading Style Sheets (CSS) Resource Allocation Data Infrastructure OpenShift Data Extraction AVEVA PI (Software) Data Pipelines Bioprocess Biopharmaceutical Manufacturing Bioprocess Engineering Business Presentations
Requirements
This is a dual posting. The final level & title of the offer role would be determined by the hiring team based on the skills, experience & capabilities required to perform the role at the level the role has been offered (Expert Data Science OR Senior Expert Data Science):
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., * 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.
Benefits & conditions
Expert Data Science: $103,600 and $192,400 per year
Senior Expert Data Science: $119,700 and $222,300 per year
The final salary offered is determined based on factors like, but not limited to, relevant skills and experience, and upon joining Novartis will be reviewed periodically. Novartis may change the published salary range based on company and market factors.
Your compensation will include a performance-based cash incentive and, depending on the level of the role, eligibility to be considered for annual equity awards.
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.
