Bioinformatics Scientist - III (Senior) - Planet Pharma : Job Details

Bioinformatics Scientist - III (Senior)

Planet Pharma

Job Location : Cambridge,MA, USA

Posted on : 2025-08-06T01:12:34Z

Job Description :

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Job Description

Target Pay Rate: 80-100.56/hr — salary will be commensurate with experience

The Precision Genetics group within the Data and Genome Sciences Department is seeking a skilled Contractor to join our Computational Precision Genetics team.

We are looking for a data scientist with extensive experience in genetic data analysis to contribute to our innovative research efforts.

Key Responsibilities:
  • Data Ingestion: Query external databases to acquire relevant genetic/genomic datasets (e.g., dbSNP, 1000 Genomes Project, gnomAD, GTEx, Ensembl, Open Targets, ClinVar).
  • Genetic/Genomic Data Analysis: Perform quality control (QC) and analysis of genetic/genomic data, including genotype imputation from array data, variant calling and annotation using state-of-the-art methods (e.g., IMPUTE, Minimac, Eagle, BEAGLE, GATK, bcftools, samtools, ANNOVAR).
  • QTL Analysis: Conduct QTL analysis to identify genetic loci associated with quantitative traits, utilizing tools such as PLINK, R/qtl, or TASSEL.
  • Population Genetics Analysis: Analyze genetic variation across populations, including allele frequency estimation, linkage disequilibrium, and population structure analysis.
  • Data Integration: Integrate genetic datasets with other omics data, including genomic, epigenomic, transcriptomic, and proteomic data, to provide comprehensive insights into gene function and regulation.
  • Documentation: Prepare detailed documentation of analysis methods and results in a timely manner.
    • Qualifications:

    Required Qualifications, skills and experience:

    • Ph.D. in Genetics, Genomics, Computational Biology, or a related field.
    • Over 5 years of proven experience in genetic data analysis.
    • Fundamental understanding of statistical methods and genetic data analysis and integration.
    • Proficiency in R, Python, and Bash, with the ability to establish best practices for reproducible data analyses.
    • Experience with high-performance computing (HPC) systems and AWS Cloud Computing (e.g., IAM, S3 buckets).
    • Collaborative, self-motivated, with a strong work ethic, capable of managing multiple objectives and adapting to changing priorities.
    • Excellent written and verbal communication skills.

    Preferred Qualifications:

    • Experience with real-world genetic data processing and analysis.
    • Proficiency in genetic/genomic data analysis tools and techniques.
    • Understanding of statistical genetics principles and methods.
    • Expertise in AI/ML.

    Note:

    • Onsite role at Cambridge, MA.
    • Do not submit candidates seeking remote work.
    • Candidates should have at least a Ph.D.; BS/MS candidates are not suitable.
    Additional Information:
    • Seniority level: Not Applicable
    • Employment type: Full-time
    • Job function: Research, Analyst, and Information Technology
    • Industry: Staffing and Recruiting

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