Data Scientist
About the role
Hybrid work; role requires onsite presence at least 50% of the time
Top Skills:
Strong coding skills in either R (preferred) and/or python. Experience in Java desired but not mandatory
Background in bioinformatics, experience working with RNA-Seq and other NGS data
About:
The Protein Homeostasis (PH) IPS team is part of the Informatics and Predictive Sciences division at client, with a strong focus on supporting early-stage pharmaceutical programs. This position will provide cross-portfolio support by enabling scientists to readily interrogate available molecular and meta-data across a diverse spectrum of pre-clinical, patient derived models (organoids, xenographs). The successful candidate will be responsible for QCing, harmonizing, and ingesting omics and other datasets programmatically, developing code to facilitate the principles of reproducible research. In addition this role will involve managing the incorporation of newly curated data into a proprietary interface to facilitate accessibility and visibility of patient derived models to scientists across client.
Responsibilities:
Compile and harmonize de-identified patient meta-data from multiple internal and external resources (includes clinical treatment history, clinical characteristics, patient demographics, model growth parameters, etc)
Compile and format omics datasets from multiple internal and external resources including RNASeq, DNASeq, Copy Number and scRNASeq datasets
Develop automated scripts to help harmonize datasets from multiple data sources
Load formatted datasets into a proprietary interface to enable access by all client employees
This role may extend to providing some high-level QC assessment of data sets based on a defined set of parameters
Requirements:
Strong coding skills in either R (preferred) and/or python. Experience in Java desired but not mandatory
Background in bioinformatics, experience working with RNA-Seq and other NGS data
Bachelors degree in bioinformatics, biology, computer science, or a related field, with 3+ years of hands-on bioinformatics experience after graduation, in industry or academia
Preferred : experience in cancer
Responsibilities
- Compile and harmonize de-identified patient meta-data from multiple internal and external resources
- Compile and format omics datasets from multiple internal and external resources
- Develop automated scripts to help harmonize datasets from multiple data sources
- Load formatted datasets into a proprietary interface to enable access by all client employees
- Provide high-level QC assessment of data sets based on defined parameters
Qualifications
- Strong coding skills in R and/or python
- Background in bioinformatics with experience in RNA-Seq and other NGS data
- Bachelors degree in bioinformatics, biology, computer science, or a related field
Skills mentioned
About Bristol Myers Squibb
At Bristol Myers Squibb, we work every day to transform patients’ lives through science. That work inspires some of the most interesting, meaningful, and life-changing careers you’ll experience. Join us and pursue innovative ideas alongside some of the brightest minds in biopharma, collaborating with a team rich in diversity of experiences, and perspectives. We have built a sustainable pipeline of potential therapies and are leveraging translational medicine and data analytics to understand how we can deliver the right medicine to the right patient, at the right time, to achieve the best outcome. Whether in a scientific, business or supporting function, a career at BMS means you’ll be inspired every day to grow and thrive through opportunities that are uncommon in scale and scope. Here, you’ll be on the cutting edge of powerful innovation in oncology, hematology, immunology, cardiovascular disease, and fibrosis, with colleagues united in the mission to help patients. Through the Bristol Myers Squibb Foundation, we also promote health equity and seek to improve health outcomes of populations disproportionately affected by serious diseases and conditions. Our mission is to give new hope to help patients prevail over serious disease – it drives everything we do. Review our Social Media Community Guidelines at: https://www.bms.com/social-media-community-guidelines.html