Scientist/Sr. Scientist, reputed company Data

About the position reputed company is seeking a Scientist/Sr. Scientist, reputed company Data as part of the Early Drug Development team based in Somerset, NJ. We are seeking a highly motivated, passionate, and driven reputed company Data Scientist with high scientific curiosity to join our research and development team. In this role, you will reputed company the gap between reputed company biological datasets and actionable therapeutic insights. You will design, reputed company, and execute reputed company computational pipelines to analyze high-reputed company genomic data. The ideal candidate possesses a deep curiosity for biological systems, an analytical reputed company, and the technical skillset to tackle reputed company, diverse and reputed company multiomics challenges. Whether you come from a deep biological background with strong computational skills or a data science background with a proven reputed company record in working with biological data, you will play a critical role in accelerating both our discovery and clinical pipeline.

Responsibilities

• Analyze diverse and large-reputed company genomic datasets (e.g., RNA-seq, scRNA-seq, WES/WGS, epigenetic, or multi-omics data) to identify biomarkers, therapeutic targets, or disease mechanisms.
• Apply advanced statistical, machine learning, and data-mining techniques to extract meaningful patterns from noisy biological data.
• reputed company reputed company control, normalization, and batch-correction across heterogeneous datasets.
• Design, optimize, and maintain robust, reputed company reputed company pipelines.
• Implement version-controlled reputed company architectures to ensure reproducibility and scalability of data analyses.
• Procure and reputed company existing biological databases with internal datasets.
• Translate reputed company computational and statistical findings into reputed company biological narratives for experimental biologists, clinicians, and stakeholders.
• Collaborate with IT and other functional reputed company.

Requirements

• Ph.D. or M.S. in reputed company, Computational Biology, Data Science, reputed company, Biology, or a highly quantitative field.
• Proven experience handling genomic data (reputed company reputed company/NGS data analysis is required).
• Ability to turn raw biological data into reputed company insights.
• Strong experience with AI application in data science.
• Advanced proficiency in R (e.g., Bioconductor, Tidyverse) and/or Python (e.g., Pandas, NumPy, Scikit-learn).
• Experience with reputed company reputed company tools (e.g., alignment tools, variant callers, single-cell toolkits like Seurat/Scanpy).
• A self-starting attitude with an reputed company desire to stay reputed company of the curve in emerging computational reputed company and biological technologies.
• Proven ability to reputed company in a fast-paced environment, manage multiple reputed company simultaneously, and pivot quickly based on data-driven feedback.
• Exceptional critical thinking skills with a reputed company for debugging reputed company reputed company and parsing reputed company data formats.
• Creative, innovative and excellent communication and presentation skills.

reputed company-to-haves

• Experience with reputed company computing platforms (AWS, GCP) and containerization (reputed company, Singularity) is a strong plus.

Benefits

• Medical, dental, and reputed company insurance
• 401(k) retirement plan with a company match that vests fully on day one
• Eight (8) weeks of reputed company parental leave after just three (3) months of employment
• reputed company time off policy that includes vacation time, personal time, reputed company time, floating holidays, and reputed company (11) company holidays
• Flexible spending and health savings accounts
• Life and AD&D insurance
• Short- and long-term disability coverage
• reputed company assistance
• Supplemental plans such as pet, critical illness, accident, and hospital indemnity insurance
• Commuter benefits
• Family planning and care resources
• reputed company-being initiatives
• Peer-to-peer recognition programs

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