Staff Scientist - Data Science

Work Schedule

Environmental Conditions

Job Description

Job Title: Staff Scientist - Data Science

Location: Onsite (West Hills, CA)

Job Type: Full-Time

Position Overview: We are seeking a highly skilled and motivated Staff Scientist specializing in Data Science with a focus on NGS data analysis, tool building, and AI/ML applications. The successful candidate will play a critical role in analyzing large-scale genomic data, developing computational tools, and applying machine learning techniques to drive our research and product development efforts.

Key Responsibilities:

• Analyze and interpret large-scale NGS data sets, including whole genome, exome, transcriptome, and single-cell sequencing data.
• Develop, implement, and optimize computational pipelines for NGS data processing, quality control, and analysis.
• Develop and build robust, scalable bioinformatics tools and software solutions to support internal and external research projects.
• Apply sophisticated statistical and machine learning techniques to uncover insights from complex biological data.
• Collaborate with multi-functional teams, including molecular biologists, bioinformaticians, and software engineers, to integrate data science solutions into research workflows.
• Keep up to date with the latest developments in NGS technologies, bioinformatics, and AI/ML methodologies.
• Present findings and communicate results to team members through reports, presentations, and publications.
• Mentor and provide guidance to junior scientists and team members.

Qualifications:

• Ph.D. in Bioinformatics, Computational Biology, Data Science, Computer Science, or a related field with 4+ years of proven experience. OR Masters in Bioinformatics, Computational Biology, Data Science, Computer Science, or a related field with 7+ years of proven experience.
• Proficient in next-generation sequencing (NGS) data interpretation, encompassing knowledge of popular sequencing technologies and data structures.
• Proficiency in programming languages such as Python, R, or Java, and experience with bioinformatics tools and libraries (e.g., Bioconductor, GATK, SAMtools).
• Proficient in statistical analysis and AI, adept at implementing these methodologies in the analysis of biological data.
• Demonstrated ability to develop and maintain computational pipelines and software tools.
• Experience with cloud computing platforms (e.g., AWS, Google Cloud) and high-performance computing environments.
• Excellent problem-solving skills and the ability to work independently and collaboratively in a fast-paced research environment.
• Proficient communication skills, encompassing both written and verbal abilities, enabling the presentation of complex data and concepts to diverse audiences.

Preferred Qualifications:

• Experience with single-cell RNA-seq analysis and multi-omics data integration.
• Knowledge of database management systems (e.g., SQL, NoSQL) and data visualization tools (e.g., Tableau, Shiny).
• Familiarity with version control systems (e.g., Git) and collaborative software development practices.

Compensation and Benefits

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