Senior Scientist, Genomic Medicine

Fantastic and rewarding opportunity for a Ph.D. who is looking to transition to Industry!

We are currently seeking an individual who is looking to apply the knowledge gained from their Ph.D. in bioinformatics, computational biology, statistical genetics, or other relevant scientific fields with their lab-related experience to join our team as a Senior Scientist.

This is an incredible opportunity for an individual who has previous pre/clinical research and biomarker data analysis experience as well as next-generation sequencing experience to gain tremendous exposure, grow professionally, and make an immediate contribution to our client. The opportunities for the Sr. Scientist to develop are limitless!

The Senior Scientist is recognized as a subject matter expert and provides scientific leadership in at least one discipline of Biomarkers and Genomic Medicine. The Senior Scientist develops strong client relationships and works closely with clients to develop and implement strategies to support their drug discovery and development programs.

Key Accountabilities:

• Define and execute biomarker data analysis plan for clinical studies, under the guidance of senior analysts, clinical development team, biomarker scientist, biostatistician, and other key stakeholders.

• Perform analysis of clinical and biomarker datasets (e.g., large-scale omics datasets including RNASeq, Exome, and Whole Genome Sequencing, single-cell sequencing) and derive clinically meaningful interpretations

• Identify potential biomarkers for patient enrichment strategies and gain mechanistic insights of responses and resistance to treatments

• Summarize analysis results and write analysis report

• Evaluate and adapt latest scientific findings and methods into bioinformatics analysis plans

• Accountable for end-to-end delivery and quality review of all client projects under his or her leadership. May lead project team and coordinate the activities of a multi-disciplinary team

• Authors or contributes to the development of clinical protocols, clinical study reports, regulatory responses, submissions, and publications for peer-reviewed journals

• Contributes to the development of departmental capabilities including procedures and technology

• Requires little instruction on day-to-day work, and takes on new areas of responsibility with general instruction and minimal oversight

• Ability to manage multiple and varied tasks with enthusiasm and independently prioritize workload; demonstrated flexibility to change

• Demonstrates independent thought and ability to influence design and implementation of projects and program deliverables

• Willingness to work in a matrix environment and to value and promote the importance of teamwork QualificationsKey Qualifications:

• Strong experience using R for complex data analysis is required. Experiences with other high-level programming languages such as Python are a plus.

• Experiences with reproducible research practices, including GitHub, is required

• Must possess at least intermediate-level expertise of UNIX/LINUX environment

• Must possess basic hands-on experience with statistics, familiar with SAS is a plus

• Experiences working with clinical study data is required; familiar with late-stage clinical development process is a strong plus

• Expertise in application of modern machine-learning/AI approaches is a plus

• Ability to work both independently and collaboratively, and to handle several concurrent, fast-paced projects while conforming with rigorous requirements of clinical studies

• Broad experience with data generated by one or more high-throughput molecular assays: next-generation sequencing, flow cytometry, mass spectrometry proteomics, etc.

• Good understanding of disease biology, experience working in immunology, cardiovascular or fibrosis disease is strongly preferred

• Strong problem-solving and collaboration skills, and rigorous and creative thinking

• Excellent verbal and written communication, data presentation, and visualization skills

• Strong program management skills with excellent attention to detail

• Models and promotes the importance of teamwork and working in a matrix environment.

• Exhibits and promotes a flexible attitude to work assignments and new learning

Education:

• Ph.D. in bioinformatics, biostatistics, computational biology, or related disciplines, with 2-5 years or more experience in drug development; or MS degree with equivalent computational skillsets and more extensive biotech or pharma industry experienceEEO DisclaimerParexel is an equal opportunity employer.  Qualified applicants will receive consideration for employment without regard to legally protected status, which in the US includes race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.