Bioinformatics Scientist - III (Senior)

Bioinformatics Scientist - III (Senior)** **Location:** **320 Bent St, 4th Floor, Cambridge, MA 02141** **Duration:** **23-Month Contract** **Pay Rate:** **$90-100/hr** **Work Arrangement:** **Onsite Only** **-** **_No remote or hybrid options available_** **Position Overview:** The **Precision Genetics** group within the **Data and Genome Sciences Department** is seeking a highly experienced **Bioinformatics Scientist (Senior Level)** to join our **Computational Precision Genetics team** . This role is ideal for a Ph.D.-level scientist with deep expertise in genetic and genomic data analysis, high-performance computing, and cloud technologies. You will play a critical role in advancing our understanding of complex diseases through computational genetics and integrated omics research. **Key Responsibilities:** + **Data Acquisition:** Query and acquire genetic/genomic datasets from public databases such as dbSNP, 1000 Genomes Project, gnomAD, GTEx, Ensembl, Open Targets, and ClinVar. + **Genomic Analysis:** Execute QC and advanced analysis of large-scale genetic data, including genotype imputation, variant calling, and annotation using tools such as IMPUTE, Minimac, Eagle, BEAGLE, GATK, bcftools, samtools, and ANNOVAR. + **QTL Analysis:** Identify quantitative trait loci using software like PLINK, R/qtl, or TASSEL. + **Population Genetics:** Conduct studies on allele frequency, linkage disequilibrium, and population structure. + **Omics Integration:** Merge genetic data with transcriptomic, proteomic, and epigenomic data to generate biological insights. + **Documentation:** Maintain comprehensive documentation of analysis pipelines, methodologies, and outcomes for internal review and publication. **Required Qualifications:** + Ph.D. in Genetics, Genomics, Computational Biology, Bioinformatics, or a related field. + 5+ years of experience conducting advanced genetic data analysis. + In-depth knowledge of population genetics, variant analysis, and genomic annotation. + Proficiency in **R, Python, and Bash** , with an emphasis on reproducible scientific computing practices. + Hands-on experience with **HPC environments** and **AWS Cloud services** (e.g., IAM, S3). + Strong organizational, analytical, and communication skills. + Proven ability to manage multiple complex objectives in a fast-paced, research-driven environment. **Preferred Qualifications:** + Experience processing and analyzing **real-world genetic datasets** . + Advanced expertise in **AI/ML techniques** applied to biological data. + Deep understanding of **statistical genetics principles and methods** . + Familiarity with genomic databases and ontologies.ManpowerGroup is committed to providing equal employment opportunities in a professional, high quality work environment. It is the policy of ManpowerGroup and all of its subsidiaries to recruit, train, promote, transfer, pay and take all employment actions without regard to an employee's race, color, national origin, ancestry, sex, sexual orientation, gender identity, genetic information, religion, age, disability, protected veteran status, or any other basis protected by applicable law.