Scientist III, Bioinformatics
Work Schedule
Standard (Mon-Fri)
Laboratory Setting, Office As part of the Thermo Fisher Scientific team, you'll discover meaningful work that makes a positive impact on a global scale. Join our colleagues in bringing our Mission to life every single day to enable our customers to make the world healthier, cleaner and safer. We provide our global teams with the resources needed to achieve individual career goals while helping to take science a step beyond by developing solutions for some of the world's toughest challenges, like protecting the environment, making sure our food is safe or helping find cures for cancer. Discover Impactful Work: We are seeking to hire a highly motivated Bioinformatics Scientist with hands-on experience in multi-omics integration and interpretation. The successful candidate will join a multi-functional team and help maintain, support and update multi-omics pipelines, with a particular focus on integrating proteomics and metabolomics. The aim is to generate new knowledge about upstream bioprocessing to guide the development of new cell culture products that support the commercial production of novel biologic therapeutics. A day in the Life:
- Provide bioinformatics support and manage omics data analysis, documentation, and report preparation for scientific services and research projects.
- Leverage bioinformatics tools including machine learning models and implement knowledge bases to provide actionable insights for cell culture media development and bioproduction process optimization.
- Under minimal supervision, the successful candidate will be expected to perform data analysis in experimental data, interpretate analysis results, and communicate and present findings in team meetings.
- Contribute to the development of innovative omics approaches and computational models to solve biological problems related to bioproduction processes.
Education
- MS in Computational Biology, Bioinformatics, Analytical Chemistry, or related field (PhD is preferred)
Experience
- At least three (3) years of related experience
- Experience in LC-MS/MS based proteomics and metabolomics data analysis and interpretation
- Experience with pathway enrichment, network analysis and multi-omics (proteomics and metabolomics) integration.
- Experience in utilizing machine learning and statistical models.
- Proficiency in programming languages such as Python or R
- 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.
- Experience working in cell culture media development.
- Statistical Design of Experiment (DOE) experience.
- Experience in glycomics at the peptide and protein level.
The salary range estimated for this position based in New York is $92,000.00-$115,000.00. 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
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