Senior Scientist I, Bioinformatics
Lawrence, KS, United States
Deciphera Pharmaceuticals
At Deciphera, we remain steadfast in our mission to improve the lives of people living with cancer - and that passion for making a difference extends to the patient groups and communities in which we live and work.Company Description
Job Description
The Senior Scientist I – Bioinformatics will be a PhD-level computational biologist who will work as part of the drug discovery team to enhance the company pipeline of drugs to treat human diseases. The ideal candidate has multi-omics experience that can be leveraged to identify new targets, predictive biomarkers, and pharmacodynamic biomarkers. They have experience analyzing proteomics data corresponding to a treatment and mining functional genomics screening data.
This position will report to the Director of Bioinformatics and can be performed on-site in Lawrence, KS, Waltham, MA, or remotely within the US. This position will require quarterly travel to our research facility in Lawrence, KS.
What You’ll Do:
- Work as part of a collaborative team to apply innovative data analysis approaches
- Perform multi-omic analyses of publicly available data such as DepMap, TCGA, and GEO deposited datasets.
- Mine external and internal genomic screening data, such as CRISPR screens
- Working with Director of Bioinformatics, other R&D colleagues, and the New Targets Task Force to triage potential new targets.
- Working with R&D colleagues, draft manuscripts and presentations for external disclosure of Deciphera information involving preclinical biological data
- Stay up-to-date with relevant scientific literature and incorporate insights into research activities and new technologies and methods
- Effectively work in an interdisciplinary team environment: communicate and plan research with chemists, biologists, and pharmacologists also working on the project
- Adhere to corporate policies including safety, FDA compliance, and regulatory matters
Qualifications
What You’ll Bring:
- PhD and 4+ years of experience in bioinformatics, computational biology, genetics, or related field with a strong background in data science
- Experience performing multi-omic integration and analysis with an emphasis on analyzing proteomics data (required)
- Proficiency in programming languages such as Python and R (required)
- Familiarity with cloud computing platforms such as AWS, Google Cloud, and/or Azure (required)
- Experience working with functional genomics data including CRISPR screening data (preferred)
- Strong knowledge of human genetics, molecular biology, as well as biological pathways and networks
- Experience working with cross functional discovery teams
- Proven track record in the analysis, visualization, and interpretation of genomics and/or functional genomics data
- Excellent communication and presentation skills to both expert and broad audiences
Additional Information
Benefits:
- Competitive salary and annual bonus.
- Comprehensive benefits package including medical, dental, vision insurance, 401(k) retirement plan with company match, and more.
- Generous parental leave and family planning benefits.
- Outstanding culture and opportunities for personal and professional growth.
Apply Now: Join us in our mission to improve the lives of people with cancer. Apply today to become a part of our dynamic team!
EQUAL EMPLOYMENT OPPORTUNITY INFORMATION
Deciphera is committed to equal employment opportunity and values diversity. To ensure that we comply with reporting requirements, we invite you complete the confidential survey at the end of this application. Providing this information is optional. It will not be accessible or used in the hiring process, and has no effect on your opportunity for employment. This information will also be treated confidentially. We are committed to make all hiring decisions and other employment decisions on a non-discriminatory basis.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: AWS Azure Bioinformatics Biology Data analysis Drug discovery GCP Google Cloud PhD Python R R&D Research
Perks/benefits: 401(k) matching Career development Competitive pay Health care Medical leave Parental leave Salary bonus
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