Research Scientist, Bioinformatics

Описание вакансии

At Kite Pharma we are completely transforming the treatment of cancer by utilizing novel immunotherapy technology. We have developed and launched a best-in-class CAR-T therapy, Yescarta, which is currently curing patients from previously intractable b-cell malignancies. We are using our expertise to apply our success to other indications and to strengthen our direction in this space, and you can help!

We are seeking a self-motivated and resourceful individual with a excellent work ethic to join our Cell Therapy Research Team. You will have the opportunity to work in a exciting and highly collaborative environment to support a growing R D portfolio, to help develop an organization centered on cutting-edge technology, and to develop models based on complex high-dimensional research and clinical data sets. The position requires a thorough understanding of the principles and practices of pharmaceutical science in a regulated environment and will work closely with the discovery research, translational medicine, clinical development, and product development teams.

We are looking for a Research Scientist that will have the primary responsibility to generate and analyze translational data from a variety of different assays in the context of Kite’s clinical studies. These readouts include but are not limited to clinical data, pharmacokinetic pharmacodynamics readouts, product attributes, next-generation sequencing data, etc. This work will require a solid background in immunology and/or oncology, complemented by computational experience in disciplines such as data science, statistics, machine learning or bioinformatics. You will need excellent problem-solving skills, a collaborative mindset and excellent communication skills to compile and share findings with the goal of advancing our pipeline. Experience analyzing large data sets and/or prior experience in the cell therapy space is highly desirable.

Responsibilities include, but are not limited to:

• Develop integrative analysis strategies to identify relationships between manufacturing process parameters, product attributes (such as molecular/cellular phenotypes, cellular functional assays), patient characteristics, and clinical trial results.
• Leverage computational analysis strategies across biological, clinical and manufacturing data to facilitate decisions in the development of next-generation cellular therapies.
• Analyze and interpret large molecular data sets, including mining of immunological datasets for e.g. biomarkers, therapeutic targets, cancer mutations.
• Collaborate with colleagues in translational medicine, biometrics, process development, research and clinical development by providing data analytics expertise.
• Stay current with and adopt emerging analytical methodologies, instruments and applications to ensure fit-for-purpose and impactful approaches.
• Communicate findings to internal stakeholders, publish results, and participate in external meetings and forums.
• Contribute to strategic collaborations with academic and commercial partners.
• Support the preparation of data packages for publication, presentation and/or submission to regulatory agencies.
• Support global regulatory requests including Investigational New Drug (IND), Biologics License Application (BLA) and other key global regulatory filing activities.

Basic Qualifications:

• Doctorate OR
• Master’s and 6+ years of related academic or industry experience OR
• Bachelor’s and 8+ years of related academic or industry experience OR
• Associate and 10+ years of related academic or industry experience OR
• High School Diploma/GED and 12+ years of related academic or industry experience

Preferred Qualifications:

• Excellent understanding of statistics and the ability to generate extensive statistical models for predicting outcomes in multidimensional data.

• Familiarity with coding, R and/or an additional programming language (Python, etc.)
• Knowledge in cancer immunotherapy, immunology and/or cell therapy is desirable.
• Experience with translational research and biomarker analysis in support of clinical trials
• Experience with genomics or other quantitative data science disciplines (bioinformatics, computational biology, statistics, data science or related field).
• Experience with Spotfire, Prism or other analytical programs a plus.
• Excellent interpersonal, verbal and written communication skills are required.
• A proactive, self-motivated and ambitious person with a strong work ethic, ability to work in a dynamic environment and able to adapt to changing priorities.

Does this sound like you? If so, apply today!