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Senior Scientist

5 months ago

Pittsburgh, United States BlueSphere Bio Full time
Job DescriptionJob DescriptionPurpose
BlueSphere Bio is seeking an exceptionally talented and highly motivated Senior/Principal Scientist with Immunology and Oncology background to join our group to develop T-cell therapies for cancer using our TCXpress and NEOXpress platform technologies. This position’s primary role is to develop an effective process using our proprietary technologies to identify tumor-specific T cell receptors and their expression in autologous or allogeneic primary human T cells. The ideal candidate will have an extensive Immunology and/or Oncology background either in academia or industry with proven records on advancing projects in the forms of publications or patents. The position is supervising two research associates and one lab tech. Excellent communication and leadership skills are required as the candidate is expected to serve as a project leader interacting with several functions within BSB and managing external collaborations.

Duties and Responsibilities
  • Lead research and development of BSB’s neoantigen computational prediction methods
  • Utilize broad technical expertise in T cell immunology, molecular biology, and cell pharmacology to advance candidate T cell therapies to clinical development.
  • Further develop and enhance BSB’s position by filing for patents and establishing innovative technologies.
  • Participate in formulating the overall BSB internal program strategy and lead/assist with external partnerships and collaborations with Academia and Industry.
  • Support technology transfer to clinical development.
  • Clearly communicate, present, and defend critical TA activities to upper management for successful program progression.
  • Define critical path activities to complete essential projects required to meet key corporate objectives in a timely fashion.
  • Manage and mentor current and future TA scientists.
  • Other duties as assigned

Qualifications and Work Experience
  • Ph.D. or master with more than three (3) years of experience in bioinformatics, computational biology, systems biology, or a related discipline with a strong track record of publications/patent
  • Experience developing and/or using NGS-based software (e.g., variant calling, gene expression, epigenetic analyses, single-cell sequencing approaches) in an HPC environment. Plus, if he or she used the software in cancer or immunology research contexts.
  • Strong molecular biology knowledge in conjunction with NGS-data analysis
  • Fluency in SAM, BAM, VCF file format specifications, and other standard bioinformatic formats
  • Understanding protein structure and/or experience in structure modeling is a plus.
  • Proficiency with the following:
  • Use of Linux in a cluster-computing environment
  • Experience applying statistical fundamentals to biological datasets
  • Python, R, C/C++, JavaScript, and current web technology.
  • Experience integrating diverse NGS and non-NGS data sets to identify cancer drivers, predictive biomarkers, or mechanistic hypotheses
  • Experience with mining public data sets, such as TCGA, GTEx, and CCLE
  • Demonstrated ability to formulate and test hypotheses by designing and implementing novel computational approaches for detecting neoantigens
  • Capacity to prioritize and work independently to complete tasks and advance projects with supervision
  • Strong written and verbal skills; ability to translate and communicate complex information and concepts for scientists of diverse backgrounds
  • Positive and collaborative attitude; ability to work effectively with internal and external collaborators and multidisciplinary teams composed of scientists and non-scientists to translate emerging research to guide internal programs

Physical and Mental Requirements
  • You will be expected to occasionally (1% to 20% of the time):
  • You will be expected to frequently (21% to 50% of the time):
    • Lift objects from one level to another (30 lbs. or less)
    • Carry objects (30 lbs. or less)
    • Walk around the facility on foot
    • Stand on your feet
    • Travel up to 25%
  • You will be expected to constantly (at least 51% of the time):
    • Sit in a normal seated position