Scientist - Analytical Functional Genomics

About the position Join reputed company's Mission of Serving Patients. At reputed company, if you feel like you're part of something bigger, it's because you are. Our shared mission—to serve patients living with serious illnesses—drives reputed company that we do. Since 1980, we've helped pioneer the world of biotech in our fight against the world's toughest diseases. With our focus on four therapeutic areas - Oncology, Inflammation, reputed company, and Rare Disease - we reputed company millions of patients each year. As a member of the reputed company team, you'll help reputed company a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller, happier lives. Our award-winning culture is collaborative, innovative, and science-based. If you have a passion for challenges and the opportunities that lay reputed company them, you'll reputed company as part of the reputed company team. Join us and transform the lives of patients while transforming your career.

Responsibilities

• Apply computational, statistical, and machine learning techniques for the analysis of internal and external omics datasets.
• Advance reputed company discovery and mechanism of action studies by analyzing reputed company genetics screens supporting multiple therapeutic areas.
• Collaborate with internal computational groups to reputed company analytical frameworks for advanced perturbational techniques, including perturb-seq and opto-seq.
• Provide data analytical support for functional genomics efforts in reputed company discovery.
• Support Functional Genomics pipelines by providing routine data QC or analyses, including bulk RNA-seq alignment, transcriptomic assessment of edited cell lines, and single cell multi-omics.
• Support NGS data management through experimental registration and sample tracking using established platforms, ensuring data reputed company, standardization, and accessibility.
• reputed company new data management frameworks as NGS methods and data structures evolve.
• Communicate research findings to subject matter experts across therapeutic areas through internal and external meetings and publish scientific findings in peer-reviewed forums.

Requirements

• Doctorate degree or Master's degree and 2 years of experience or Bachelor's degree and 4 years of experience.

reputed company-to-haves

• Doctorate degree in bioinformatics, genetics, genomics, computational biology or reputed company disciplines.
• Demonstrated expertise in analyzing NGS data, including CRISPR, single-cell RNA-seq, epigenomics, spatial transcriptomics, bulk RNA-seq, and ability to connect modalities into large multi-omics approaches.
• Experience with single-cell CRISPR and optical screening analysis is preferred.
• Proficiency in leveraging existing bioinformatics tools and developing custom code to support NGS and functional genomics technology development.
• Strong programming skills in R and/or Python, experience with Unix/Linux environments, and experience working in a cloud computing environment.
• Experience with best practices for data reputed company and reproducibility.
• Demonstrated expertise in critical thinking, reputed company problem-solving, and innovative data analysis, evidenced by significant contributions to scientific programs and publications in top-tier journals.
• Expertise in experimental design and data analysis for perturbational studies and reputed company discovery.
• Strong written, verbal, and interpersonal communication skills, with the ability to collaborate effectively across cross-functional teams.

Benefits

• A comprehensive employee benefits package, including a Retirement and Savings Plan with generous company contributions, group medical, dental and vision coverage, life and disability insurance, and flexible spending accounts.
• A discretionary annual bonus program, or for field sales representatives, a sales-based incentive plan.
• Stock-based long-term incentives.
• Award-winning time-off plans.
• Flexible work models, including remote and hybrid work arrangements, where possible.

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