Senior Scientist I, Bioinformatics

Job 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 mattersQualifications

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

Deciphera is committed to fair and equitable compensation practices. The base salary pay range for this role is $115,000 - $159,000. Actual compensation packages will depend on various factors, including, but not limited to depth of experience, education, skillset, overall performance and/or location.

Deciphera believes in providing a competitive compensation and benefits package to all employees. Our base salary is just one component of Deciphera’s competitive total rewards strategy that also includes annual performance bonus, a long-term incentive plan, full range of benefits and other incentive compensation plans (if applicable)

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.

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.

Full-time

Hybrid remote