Scientist, Functional Genomics - Pearl River

Compensation

: $91,130.00 - $157,310.00 /year *

Employment Type

: Full-Time

Industry

: Healthcare - Physician



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ROLE RESPONSIBILITIES
The successful candidate will work independently or as part of a research team that is focused on developing and running functional genomic screens and identifying new targets for the OTD department. Use of shRNA or CRISPR technology platforms to screen and identify targets regulating oncology and or immune related disease pathways is essential. He/she will also provide weekly assay development , cell culture, and molecular biology support for different projects and programs.

ROLE SUMMARY

Pfizer Integrative Biotechnology Group (IBG) located in Pearl River, NY is within the Oncology division of Pfizer Worldwide Research & Development. IBG is dedicated to developing the next generation oncology therapeutics and therapeutic combinations by employing a multidisciplinary approach to target cancer cell cycle and modulate tumor microenvironment. We are seeking a qualified candidate at the Scientist level to join the group to contribute to drug discovery efforts by applying functional genomics and advanced molecular biology strategies to study novel cellular mechanisms underlying synthetic lethality with Pfizer s preclinical and clinical assets. Primary responsibility of this role includes generating data packages to support advancement of late stage projects and publications in top-tiered research journals.

The qualified candidate for this position will be a highly motivated and collaborative scientist with strong interest in cancer biology, epigenetics, cell cycle progression and/or senescence response.

S/he will demonstrate clear and professional verbal and written communication skills, maintain an electronic notebook, and can present scientific results to collaborators and at team meetings.

ROLE RESPONSIBILITIES

  • Perform experiments to study genetic and epigenetic factors that promote tumor growth and maintenance
  • Develop cellular and molecular assays to define mechanism of action relevant to target inhibition either by genetic approaches or compound treatment
  • Perform cell-based assays for drug response alone or in combination to identify drug synergy
  • Perform RNAi/CRISPR-based functional genomics screens for target discovery and validate novel drug targets both in vitro and in vivo
  • Present experiment results in group meetings
  • Maintain experimental records in electronic lab notebook
  • Share common lab responsibilities such as lab supply order and inventory management
  • Contribute to a dynamic, exciting culture that embraces teamwork and innovation.
  • BASIC QUALIFICATIONS

  • B.S. degree with 6+ years of experience or M.S. degree with 5+ years of experience in molecular biology, cell biology, genetics or related discipline
  • Minimum 5 years of hands-on laboratory research
  • Ability to plan and execute in vitro and/or ex vivo experiments with minimal supervision
  • Experience in cell culture, flow cytometry, cell-based assays and standard molecular biology techniques such as SDS-PAGE, ELISA, Western Blot, DNA/RNA purification, PCR/RT-PCR, and lentiviral packaging & transduction
  • Experience with data processing software including Excel and Prism
  • Excellent organization and planning skills, the ability to work independently or as part of a team, good verbal & written communication and interpersonal skills, and strong motivation with a pro-active attitude and dedicated work ethic
  • Ability and desire to learn new techniques
  • PREFERRED QUALIFICATIONS

  • Experience in cancer biology especially in cell cycle regulation and cancer epigenetics
  • Knowledge of RNAi technology and experience in pooled RNAi-based screens
  • Experience in use of CRISPR-based techniques for gene knockout, gene editing as well as working knowledge of pooled CRISPR-based screening approaches
  • Experience with NextGen sequencing
  • Experience with tumor cell dissociation and processing
  • Sunshine Act

    Pfizer reports payments and other transfers of value to health care providers as required by federal and state transparency laws and implementing regulations. These laws and regulations require Pfizer to provide government agencies with information such as a health care provider s name, address and the type of payments or other value received, generally for public disclosure. Subject to further legal review and statutory or regulatory clarification, which Pfizer intends to pursue, reimbursement of recruiting expenses for licensed physicians may constitute a reportable transfer of value under the federal transparency law commonly known as the Sunshine Act. Therefore, if you are a licensed physician who incurs recruiting expenses as a result of interviewing with Pfizer that we pay or reimburse, your name, address and the amount of payments made currently will be reported to the government. If you have questions regarding this matter, please do not hesitate to contact your Talent Acquisition representative.

    EEO & Employment Eligibility

    Pfizer is committed to equal opportunity in the terms and conditions of employment for all employees and job applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, disability or veteran status. Pfizer also complies with all applicable national, state and local laws governing nondiscrimination in employment as well as work authorization and employment eligibility verification requirements of the Immigration and Nationality Act and IRCA. Pfizer is an E-Verify employer.

  • OTHER INFORMATION
    Relocation eligible
    Eligible for employee referral bonus

  • N (Other) (United States of America)

    Pfizer is an equal opportunity employer and complies with all applicable equal employment opportunity legislation in each jurisdiction in which it operates.


    Associated topics: anatomic, diagnostics, forensic, hematopathologist, investigative, laboratory, molecular, pathology, pth, research * The salary listed in the header is an estimate based on salary data for similar jobs in the same area. Salary or compensation data found in the job description is accurate.

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