Student Veterans of America Jobs

Welcome to SVA’s jobs portal, your one-stop shop for finding the most up to date source of employment opportunities. We have partnered with the National Labor Exchange to provide you this information. You may be looking for part-time employment to supplement your income while you are in school. You might be looking for an internship to add experience to your resume. And you may be completing your training ready to start a new career. This site has all of those types of jobs.

Here are a few things you should know:
  • This site is mobile friendly. You do not need a log-in or password to access information.
  • Jobs on this site are original and unduplicated and come from three sources: the Federal government, state workforce agency job banks, and corporate career websites. All jobs are vetted to ensure there are no scams, training schemes, or phishing.
  • The site is refreshed daily to remove out-of-date content.
  • The newest jobs are listed first, so use the search features to match your interests. You can look for jobs in a specific geographical location, by title or keyword, or you can use the military crosswalk. You may want to do something different from your military career, but you undoubtedly have skills from that occupation that match to a civilian job.

Job Information

AbbVie Associate Scientist II, Genomics Data in Cambridge, Massachusetts

Company Description

AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas – immunology, oncology, neuroscience, and eye care – and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com. Follow @abbvie on Twitter, Facebook, Instagram, YouTube and LinkedIn.

Job Description

Key Responsibilities

  • Engineer, maintain, & improve upon pipeline code base for bioinformatics processing & analysis of various genomics data types.

  • Enable code reuse across different Linux environments / computing architecture deployed across research sites.

  • Facilitate internal & external data availability to bioinformaticians.

  • Develop & maintain structured data repositories for semi-automated computational reassessment & record keeping.

  • Develop & support R Shiny applications to enable data query, visualization & custom web-interfaces of data analytics processes & pipelines.

  • Interface with research-serving IT specialists to assure availability of appropriate HPC resources (compute, storage, networking).

  • Leverage bioinformatics & genomics data knowledge to gather requirements from stakeholders & collect feedback for continued development & support.

  • Engage in effective communications with stakeholders & other team members via asynchronous collaboration tools (e.g. Microsoft Teams).

  • Utilize R & Python, including experience with web-app frameworks such as R Shiny & Flask.

  • Build workflows & pipelines to support Illumina NGS data generation, processing, & analysis (particularly Bulk RNAseq and scRNA-seq).

  • Structure data storage technologies including relational &/or NoSQL.

  • Generate ML models for data classification & analysis such as KNN, Random Forest, &/or SVN.

  • Use version control systems such as Git or GitHub, & software project management systems such as Jira.

  • Wrangle, manage, & leverage large datasets such as patient cohorts & public data repositories.

  • Utilize contemporary interactive data visualization methods such as R Shiny, D 3, or Spotfire.

  • Use pipeline building tools including CWL &/or Snakemake.

  • Utilize tools & data formats related to gene expression, enrichment analysis, genetic, genomic, or epigenetic data such as encountered when analyzing high-throughput transcriptomic, whole exome, whole genome, whole methylome, GWAS, or targeted resequencing data.

Qualifications

Must possess a Master’s degree or foreign academic equivalent in Biology, Chemistry, Biochemistry, Computer Science, Bioinformatics, Software Engineering, Computer & Electrical Engineering or a highly related field of study with an academic or industrial background in:

  • developing & supporting R Shiny applications to enable data query, visualization & custom web-interfaces of data analytics processes & pipelines;

  • utilizing R & Python, including experience with web-app frameworks such as R Shiny &/or Flask;

  • structuring data storage technologies including relational &/or NoSQL; &

  • using version control systems such as Git &/or GitHub, & software project management systems such as Jira.

Apply online at https://careers.abbvie.com/en. Refer to Req ID: REF24103O.


Additional Information

We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees. This job is eligible to participate in our short-term and long-term incentive programs.

AbbVie is committed to operating with integrity, driving innovation, transforming lives, serving our community and embracing diversity and inclusion. It is AbbVie’s policy to employ qualified persons of the greatest ability without discrimination against any employee or applicant for employment because of race, color, religion, national origin, age, sex (including pregnancy), physical or mental disability, medical condition, genetic information, gender identity or expression, sexual orientation, marital status, status as a protected veteran, or any other legally protected group status.

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