**Work Schedule** Standard (Mon-Fri) **Environmental Conditions** Office **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** The salary range estimated for this position based in California is $118,600.00–$177,850.00. 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 Thermo Fisher Scientific is an EEO/Affirmative Action Employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability or any other legally protected status.