Thermo Fisher Scientific Inc. is a global leader in scientific solutions, generating over $25 billion in annual revenue. Our Mission is to empower our customers in making the world a healthier, cleaner, and safer place. Whether our customers are advancing life sciences research, addressing intricate analytical problems, enhancing patient diagnostics and treatments, or optimizing efficiency in their labs, we are dedicated to assisting them.
Location / Division
Grand Island, NY / Bio Production Division
How will you make an impact?
We are seeking to hire a highly motivated Data Scientist with hands-on experience computational scientist/informaticist. The successful candidate will join a multifunctional team and will help in the development of new cell culture products to support the commercial production of novel biologic therapeutics.
What will you do?
Develop mechanistic and machine learning models (hybrid models) and implement a knowledge base to provide actionable insights into cell culture media development and bioproduction process optimization.
Design and develop a database for the cell culture medium formulation to streamline data analysis.
Provide bioinformatics support and handle omics data analysis, documentation, and report preparation for scientific services and research projects.
Under minimal direction, the successful candidate will be expected to perform data analysis in experimental data, interpret analysis results, and communicate and present findings in team meetings.
Develop algorithms and computational models to solve biological problems related to bioproduction processes.
How will you get here?
Education
MS in Computational Biology, Bioinformatics, Data Science, or related field (PhD is preferred). Equivalent experience in the field will also be considered.
Experience with pathway enrichment, network analysis and multi-omics (proteomics and metabolomics) integration.
Experience in building machine learning and statistical models.
Proficiency in programming languages such as Python or R
Familiar with relational database (e.g. SQL, Oracle) and graph database (e.g. Neo4j)
Builds dashboards for data visualization (e.g. RShiny, Tableau, Power BI, Python Dash)
Knowledge, Skills, Abilities
Knowledge in molecular and cellular biology.
Strong understanding of statistical inference and machine learning techniques.
Present data for review, group discussions, and team meetings
Multi-task effectively and prioritize multiple projects with guidance.
Proven track record that could work efficiently both independently and as part of a team.
Excellent verbal and written communication skills.
Ability to analyze, interpret and summarize scientific results in a clear, concise, and accurate manner.
Ability to work in a cross functional and interdisciplinary team.
Preferred Qualifications
Experience working in cell culture media development.
Statistical Design of Experiment (DOE) experience.
Experience working in AWS data lake platform.
Compensation and Benefits
The salary range estimated for this position based in New York is $87,200.00-$100,000.00.
This position may also be eligible to receive a variable annual bonus based on company, team, and/or individual performance results in accordance with company policy. We offer a comprehensive Total Rewards package that our U.S. colleagues and their families can count on, which includes:
A choice of national medical and dental plans, and a national vision plan, including health incentive programs
Employee assistance and family support programs, including commuter benefits and tuition reimbursement
At least 120 hours paid time off (PTO), 10 paid holidays annually, paid parental leave (3 weeks for bonding and 8 weeks for caregiver leave), accident and life insurance, and short- and long-term disability in accordance with company policy
Retirement and savings programs, such as our competitive 401(k) U.S. retirement savings plan
Employees' Stock Purchase Plan (ESPP) offers eligible colleagues the opportunity to purchase company stock at a discount
For more information on our benefits, please visit: https://jobs.thermofisher.com/global/en/total-rewards
