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PharmaEssentia · 2 months ago

Senior Computational Biologist

Bedford, MA

Full-time

Onsite

Mid, Senior Level

3+ years exp

PharmaEssentia is a rapidly growing biopharmaceutical innovator focused on delivering effective new biologics for challenging diseases. The Senior Computational Biologist will apply advanced OMICS-oriented analytical methods and machine learning to support research programs and enhance drug discovery efforts.

BiotechnologyHealth CarePharmaceutical

Growth Opportunities

Responsibilities

Lead multi-omics data analysis across diverse datasets, including genomics, bulk and single-cell transcriptomics, proteomics, metabolomics and pathway analysis, to address critical questions in target identification, prioritization, and translational science

Design and implement novel computational modules and frameworks to enable seamless integration and interpretation of multi-omics data, driving insights for R&D

Develop and apply machine learning and AI algorithms to uncover patterns and generate predictions from complex biological datasets, and accelerate target discovery and validation efforts

Enhance internal cross-disciplinary collaboration with project teams to align computational strategies with project goals and ensure robust biological interpretation of data

Establish best practices for data management, quality control, and reproducibility in bioinformatics pipelines, and create intuitive visualizations and detail-oriented reports to communicate findings with stakeholders, enabling data-driven decision-making

Continuously evaluate and adopt cutting-edge computational tools, algorithms and technologies to stay at the forefront of the field and enhance data analysis capabilities

Contribute to the strategic planning of computational/AI initiatives, influencing the direction of research programs and technological investments

Contribute to scientific publications, conference presentations, showcasing advancements in bioinformatics and AI, and their impact on drug discovery and translational research

Qualification

Multi-omics data analysisMachine learning algorithmsDeep learning frameworksPythonRBioinformaticsDrug discovery knowledgeData visualizationStatistical modelingCross-functional collaboration

Required

Ph.D. in Bioinformatics, Computational Biology, Computer Science or relevant quantitative discipline

At least 3-years work experience in combining bioinformatics/computational biology analysis and cutting-edge computational approaches (including ML/AI) for project support in cross-functional biotech or pharma setting

Expertise in multi-omics data analysis and result interpretation (genomics, transcriptomics and scRNASeq are must, spatial omics and image are plus)

Proficiency in Python and R, familiarity with database management

A strong understanding of the drug discovery and development, including target identification, lead optimization, translational research, and early clinical development

Experience in a therapeutic area relevant to oncology and immunology

Working knowledge of traditional machine learning algorithms, Deep learning frameworks and LLM, and their applications in drug discovery