Find Jobs
Find Jobs Near You – Available Work in Your Location
Skip to job details
M
Mindlance
Scientist III
Career Insights for Bioinformatician
See where this job fits in the broader career landscape. Knowing your career path helps you see what's possible from here.
Scorecard
Based on national data
Review key factors to help you decide if this role fits your goals. How is this calculated?
What they do
A Bioinformatician uses computers and software tools to study biology and biology-related data. Conducts studies and maintains biology data; may develop specialized bioinformatics software. Analysis may be used for product development at a pharmaceutical company, disease research at a hospital or health policy research at a public health organization.
$96,655 / year median in the U.S.
+8% projected growth
Job Description
Scientist III#26-24431
$45.45-$48.39 per hour
Ridgefield, CT
Remote Job Description As an active team member of the Computational Innovation department at Boehringer-Ingelheim, the successful candidate will contribute to oncology drug discovery research through in silico data driven approaches. You will leverage multi-modal omics data analysis and collaborate with biologists to solve scientific challenges to advance drug discovery programs. This opportunity can be remote.
Duties and responsibilities:
- Support Oncology drug development efforts
- Identify, learn and apply emerging technologies in data science and its applications to Client cancer therapeutics discovery and development.
- Apply and develop innovative analysis approaches when standard methods are not adequate
- Identify and process publicly available and internally generated datasets using statistical and bioinformatics techniques to create meaningful biological insights
- Follow relevant scientific literature to ensure use of optimal methods and understand emerging practices across the field
- Interpret, report, and present analysis results, with a high level of integrity and ethics, to biologists and collaborators.
- Ensure FAIR data analysis with clear documentation and reproducibility
Skills:
Skills:
- Programming experience with Python and R for bioinformatic data analysis in unix-like systems.
- Proficiency in working with bulk and single cell NGS data
- Experience with any of these topics is a plus: oncology or immunology knowledge, spatial transcriptomics, methylation, or liquid biopsy data analysis, public oncology database datasets (TCGA, GTEX, Human cell atlas, CZ CELLxGene Client, Human tumor atlas network, etc)
- Proficiency in working with high performance computing clusters (HPC)
- Proficiency in biological pathway analysis