Scientist
4 weeks ago
Job Title: Scientist
Location: Framingham, MA
Duration: 12 months with possible extension
Job Summary:
Open to candidates willing to relocate at their own expense Possibility of an extension Experience: For MS candidates, we are considering the required years (2-4) as professional work experience only in addition to the degree. For PhD candidates, we would be open to consider non-doctoral research in academic settings or temporary industrial placements (Internships/Co-Op) as professional work experience. **Must Have/Required Skills: • 2+ years of pharma/biotech experience • Hands on experience/coursework/knowledge in mammalian cell culture process development: Experience with mammalian cell cultures (Experience with CHO cells, HEK cells, HeLa cells, CAR-T cells or T-cells, etc), therapeutic molecule production (enzymes, monoclonal antibodies, viral vectors, vaccines or cell therapy) and/or upstream process development (batch, fed-batch or perfusion cultures) • Coursework/knowledge and preferably past hands-on experience in bioreactor operation (bench scale and/or pilot scale stirred tank bioreactors or wave bioreactors) **Nice to Have/Preferred Skills: • 3+ years of relevant experience • Hands on experience/coursework/knowledge in Process Analytical Technology: Experience with sensor technology (spectroscopy, electrochemical, chromatographic or other), PAT applications (process monitoring or process control), or other. • Hands on experience/coursework/knowledge in Data Analytics: Potential experience with Statistical, Machine Learning or Deep Learning for regression in predictive models.
As a scientist, the candidate will contribute to the development, characterization, testing and scale-up/down of automated and PAT (Process Analytical Technology) enabled mammalian cell culture process platforms for biotherapeutic manufacturing. The goal of this position is to advance innovation in our manufacturing capabilities by developing robust, scalable, automated, and data-driven cell culture processes for Sanofi’s diverse early and late-stage biologics pipeline. The candidate will work in a cross-functional environment and in close collaboration with members from the Cell Culture Development, Process Analytical Technology, Data Sciences, Automation Engineering and Bioanalytics teams.
Key responsibilities
• Develop, characterize, and test an integrated and automated cell culture process platform and associated process strategies through the integration of sensing technology, data analytics and automation.
• Investigate, design, and independently execute research activities using the aforementioned process platform to improve cell culture process performance (productivity and/or product quality), optimize platform workflows and deepen scientific understanding of cell culture production systems.
• Critically evaluate relevant scientific, technological, and regulatory literature to advance the proposed platform and its impact in our early and late-stage biologics pipeline.
• Lead efforts for industrialization and technology transfer of proposed automated cell culture process platform and associated process strategies within Sanofi.
• Responsible for planning, executing, documenting, and interpreting experimental work and results with appropriate supervision and documentation.
• Author high quality scientific and operational documentation and deliver scientific presentations.
Basic qualifications
• Master’s degree (2-4 years) or PhD degree (0-2 years) in Biotechnology, (Bio)Chemical engineering, Biology, Biochemistry, or a related field.
• Relevant knowledge, coursework and/or hands-on experience in mammalian cell culture process development (e.g., cell biology and biochemistry, cell culture engineering, recombinant protein production, bioreactor engineering, protein product characterization, sterility and aseptic techniques, technology transfer, etc.).
• Strong motivation, curiosity, attention to detail, multitasking ability and active problem-solving and troubleshooting skills.
• Ability to work both independently and in a team-oriented environment with strong project management and communication skills (oral/written).
Preferred Qualifications
• Relevant knowledge, coursework and/or hands-on experience in Process Analytical Technology (PAT), its applications (process monitoring, control, and supervision) and/or in-line/on-line sensing technology (e.g. Spectroscopy, Optical, Enzymatic, Chromatographic sensors, etc.)
• Knowledge, coursework and/or hands-on experience in process data analytics (multivariate, time series and/or signal processing through statistical/machine learning methods).
EEO:
Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.
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