Job Description

The Translational Genome Analytics group within the Data, AI & Genome Sciences Department is recruiting an Associate Principal Scientist to join our oncology data science team. We are seeking an experienced and innovative computational scientist to impact our company’s vast and expanding oncology pipeline with a focus on immunotherapy, including personalized neoantigen approaches. The successful candidate will:

• Analyze, visualize and summarize NGS and other molecular data from oncology clinical trials and proprietary and public large molecular databases, including bulk tissue nucleotide acid sequencing and periphery comprehensive molecular assays including TCR sequencing, protein profiling, immune activation assays, and liquid biopsies.

• Leverage cutting-edge AI/ML (e.g. classification and regression algorithms) and integrative analytic methods to investigate proprietary and public immunogenomic datasets in conjunction with tissue and periphery assays with the goal of improving the detection and utilization of patient-specific neoantigens.

• Use oncology molecular data to identify biomarkers and molecularly defined groups of patients as well as molecular mechanisms of modulation of therapeutic response reflected in longitudinal analytes, with a focus on identifying novel targets matched to groups of cancer patients with unmet medical need.

• Effectively present data analyses to inform and interact with stakeholders representing a wide span of internal organizations, including Translational Oncology, Molecular Diagnostics, Clinical Development, Statistics and Therapeutic Area Biology.

Education Minimum Requirement:
PhD (preferred) in Engineering, Applied Mathematics, Bioinformatics, Computational Biology or related field with a significant computational and statistical component and 3+ yrs post-PhD experience or MSc with 10+ yrs experience in applying computational methods in cancer biology in a pharma, biotech or academic setting.

Required Experience and Skills:

• Demonstrated expertise in the application of methods of statistical learning and data mining to the integrative analysis of high-dimensional molecular profiling datasets in the immuno-oncology context

• Hands-on analysis experience with algorithms for large genetic, genomic, immunogenomic and clinical datasets (e.g. IEDB, TCGA, GTEx, DepMap)

• 5+ years experience and demonstrated expertise to code in scientific computation environments (R/Python, Matlab) with adoption of best practices for reproducible data analyses.

• Strong communication and presentation skills; ability to guide and influence decisions through use of data-driven hypotheses; attention to detail.

• Independent, flexible and collaborative mindset.

Preferred Experience and Skills:

• Experience with analysis of genomic data originating from clinical trials.

• Understanding of the major concepts of cancer biology as represented in molecular data.

• Experience with a matrix environment and ability to effectively collaborate with colleagues from a wide range of disciplines.

• Record of publishing in high profile scientific journals.

NOTICE FOR INTERNAL APPLICANTS

In accordance with Managers' Policy - Job Posting and Employee Placement, all employees subject to this policy are required to have a minimum of twelve (12) months of service in current position prior to applying for open positions.

If you have been offered a separation benefits package, but have not yet reached your separation date and are offered a position within the salary and geographical parameters as set forth in the Summary Plan Description (SPD) of your separation package, then you are no longer eligible for your separation benefits package. To discuss in more detail, please contact your HRBP or Talent Acquisition Advisor.

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Employees working in roles that the Company determines require routine collaboration with external stakeholders, such as customer-facing commercial, or research-based roles, will be expected to comply not only with Company policy but also with policies established by such external stakeholders (for example, a requirement to be vaccinated against COVID-19 in order to access a facility or meet with stakeholders). Please understand that, as permitted by applicable law, if you have not been vaccinated against COVID-19 and an essential function of your job is to call on external stakeholders who require vaccination to enter their premises or engage in face-to-face meetings, then your employment may pose an undue burden to business operations, in which case you may not be offered employment, or your employment could be terminated. Please also note that, where permitted by applicable law, the Company reserves the right to require COVID-19 vaccinations for positions, such as in Global Employee Health, where the Company determines in its discretion that the nature of the role presents an increased risk of disease transmission.

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We are an Equal Opportunity Employer, committed to fostering an inclusive and diverse workplace. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status, or other applicable legally protected characteristics. For more information about personal rights under the U.S. Equal Opportunity Employment laws, visit:

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U.S. Hybrid Work Model

Effective September 5, 2023, employees in office-based positions in the U.S. will be working a Hybrid work consisting of three total days on-site per week, generally Tuesday, Wednesday and either Monday or Thursday, although the specific days may vary by site or organization, with Friday designated as a remote-working day, unless business critical tasks require an on-site presence. This Hybrid work model does not apply to, and daily in-person attendance is required for, field-based positions; facility-based, manufacturing-based, or research-based positions where the work to be performed is located at a Company site; positions covered by a collective-bargaining agreement (unless the agreement provides for hybrid work); or any other position for which the Company has determined the job requirements cannot be reasonably met working remotely. Please note, this Hybrid work model guidance also does not apply to roles that have been designated as “remote”.

The Company is required to provide a reasonable estimate of the salary range for this job in certain states and cities within the United States. Final determinations with respect to salary will take into account a number of factors, which may include, but not be limited to the primary work location and the chosen candidate’s relevant skills, experience, and education.

Expected US salary range:

$137,800.00 - $216,900.00

Available benefits include bonus eligibility, long term incentive if applicable, health care and other insurance benefits (for employee and family), retirement benefits, paid holidays, vacation, and sick days. A summary of benefits is listed here.

Search Firm Representatives Please Read Carefully
Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails.

Employee Status:

Regular

Relocation:

Domestic

VISA Sponsorship:

Yes

Travel Requirements:

10%

Flexible Work Arrangements:

Hybrid

Shift:

Not Indicated

Valid Driving License:

No

Hazardous Material(s):

n/a

Job Posting End Date:

09/24/2024

*A job posting is effective until 11:59:59PM on the day BEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date.

Job Posting End Date:09/24/2024

A job posting is effective until 11:59:59PM on the day BEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date.

Requisition ID:R307660