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Lead Computational Biologist
2 months ago
Position Overview:
The Health Economics, Outcomes Research & Data Science Analytics department is on the lookout for a skilled Computational Biologist to enhance our Data Science Analytics team.
This role is pivotal in supporting genetically defined disease initiatives across our diverse portfolio.
Key Responsibilities:
- Contribute significantly to computational and bioinformatics strategies, executing analytical tasks and interpreting data throughout all phases of Research & Development (R&D).
- Innovate and conduct advanced computational analyses of multimodal datasets to yield significant insights on target identification and patient biomarker selection, utilizing population genetics and genomics data from extensive databases.
- Develop internal analytical capabilities for various omics data, including DNA sequencing, RNA sequencing, and single-cell RNA sequencing.
- Analyze diverse phenotypic and genomic datasets sourced internally and from public databases, including conducting association studies on complex phenotype-genotype data and extracting relevant clinical and phenotypic information.
- Explore opportunities to implement cutting-edge Machine Learning (ML) techniques to address computational and bioinformatics challenges by integrating various data types, including omics, clinical, and real-world evidence (RWE).
- Engage with interdisciplinary project teams to facilitate effective decision-making through large-scale data mining and the development of predictive models.
- Integrate high-dimensional data such as Next Generation Sequencing (NGS), single-cell sequencing, metabolomics, and proteomics to support all R&D stages, contributing to the creation of databases and web portals for data retrieval and visualization.
- Stay informed on emerging statistical genomic methodologies, ML, and generative AI advancements.
- Collaborate across functions to enhance data interpretation and deliver actionable insights.
- Present scientific findings to both internal and external audiences.
- Work autonomously and as part of a collaborative team.
- Establish best practices among Data Science analysts and contribute to the development of Data Science infrastructure.
Qualifications:
- PhD in computational biology or a related field; or a master’s degree with a minimum of 2 years of industry experience.
- Proven experience with Next Generation Sequencing data, including genomic and transcriptomic data.
- Familiarity with statistical genomics techniques such as Bayesian inference, meta-analysis, heritability, and mixed models is preferred.
- Proficient in processing and analyzing high-dimensional RWE.
- Experience with data visualization tools and creating reproducible workflows, particularly with Unix, Git, and RMarkdown or Jupyter.
- Knowledge of AWS-backed cloud computing platforms and preferably DNAnexus.
- Familiarity with public omics data repositories (e.g., Gene Expression Omnibus, NCBI databases, Ensembl, dbGAP).
- Technical expertise in programming languages such as R and Python.
- Demonstrated experience in applying machine learning or deep learning algorithms in the health sector.
- Familiarity with conventional NGS analysis tools (e.g., BCFtools, VCFtools, PLINK, Regenie, GATK, bedtools) is advantageous.
- Strong written and verbal communication skills, with a commitment to accountability and scientific rigor.
- Excellent organizational skills and the ability to influence and drive decision-making.
- A deep curiosity about emerging trends in machine learning and generative AI.
Company Overview:
Beacon Hill Staffing Group was established by industry leaders to redefine standards in search, career placement, and flexible staffing. We provide coordinated staffing solutions with exceptional service, a commitment to project success, and a passion for innovation and continuous improvement.
Our specialized brands offer a comprehensive suite of staffing services to both emerging growth companies and Fortune 500 firms across various market sectors and disciplines.
We are excited to collaborate with you at Beacon Hill. Employing the Future™