Associate Principal Scientist, Bioinformatics, Immuno-Oncology Analytics

Merck & Co., Inc.; Boston (MA); Hybrid; USD 90,000 - 150,000; Full time

Job summary

An innovative firm is seeking an Associate Principal Scientist to join its data science team. This role focuses on data mining multi-modal genome-scale molecular data to inform decisions in oncology. The successful candidate will leverage advanced analytical methods to define molecular subtypes and present findings to stakeholders. With a strong emphasis on collaboration and communication, this position offers a unique opportunity to impact the oncology pipeline significantly. Join a diverse and inclusive environment where your expertise can drive breakthrough innovations in cancer research.

Qualifications

• 3+ years experience in computational methods in cancer biology.
• Expertise in statistical learning and data mining for oncology datasets.

Responsibilities

• Analyze and visualize findings from multi-modal clinico-genomic datasets.
• Present data analyses to inform stakeholders across various teams.

Skills

Statistical Learning

Data Mining

R Programming

Python Programming

Matlab

Communication Skills

Education

PhD in Quantitative Discipline

Tools

IEDB

TCGA

GTEx

DepMap

Job description

Job Description

The Translational Genome Analytics group within the Data, AI & Genome Sciences Department is recruiting an Associate Principal Scientist to join our data science team. We are seeking an experienced and innovative computational scientist to perform data mining of multi-modal genome-scale molecular data and inform decisions across all stages of our company's expanding oncology pipeline. The successful candidate will:

• Enable reverse translation from clinical datasets to inform biomarker discovery, combination strategies, and novel target identification in molecularly defined patient populations with high unmet medical need.
• Analyze, summarize and visualize the findings from large multi-modal clinico-genomic datasets which include bulk RNAseq, WES/WGS, epigenetic profiling, single-cell RNAseq, and proteomics data from oncology clinical trials and real-world datasets.
• Leverage advanced analytical methods and multivariate predictive modeling to define molecular subtypes of patients with distinct composition of Tumor Micro Environment, molecular drivers and clinical outcomes.
• Effectively present data analyses to inform and interact with stakeholders representing a wide span of internal organizations, including early discovery, translational and clinical development teams.

Education Minimum Requirement:

• PhD in quantitative discipline such as Engineering, Applied Physics/Mathematics, Bioinformatics, Computational Biology or related field with a significant computational and statistical component.

Required Experience and Skills:

• At least 3 years post-PhD experience in applying computational methods in cancer biology in a pharma, biotech or academic setting
• Some combination of the below skills:

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

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

- Extensive 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:

• Demonstrated experience with analysis of genome-scale genomic data originating from clinical trials.
• Deep understanding of the major concepts of cancer biology as represented in multi-modal molecular data.
• Experience within a matrixed industry environment and ability to effectively collaborate with colleagues from a wide range of disciplines.
• Record of publishing in high profile scientific journals.

As an Equal Employment Opportunity Employer, we provide equal opportunities to all employees and applicants for employment and prohibit discrimination on the basis of race, color, age, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or other applicable legally protected characteristics. As a federal contractor, we comply with all affirmative action requirements for protected veterans and individuals with disabilities. For more information about personal rights under the U.S. Equal Opportunity Employment laws, visit:

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We are proud to be a company that embraces the value of bringing together, talented, and committed people with diverse experiences, perspectives, skills and backgrounds. The fastest way to breakthrough innovation is when people with diverse ideas, broad experiences, backgrounds, and skills come together in an inclusive environment. We encourage our colleagues to respectfully challenge one another's thinking and approach problems collectively.

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Our company is committed to inclusion, ensuring that candidates can engage in a hiring process that exhibits their true capabilities. Please click here if you need an accommodation during the application or hiring process.

As an Equal Employment Opportunity Employer, we provide equal opportunities to all employees and applicants for employment and prohibit discrimination on the basis of race, color, age, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or other applicable legally protected characteristics. As a federal contractor, we comply with all affirmative action requirements for protected veterans and individuals with disabilities. For more information about personal rights under the U.S. Equal Opportunity Employment laws, visit:

EEOC Know Your Rights

EEOC GINA Supplement

We are proud to be a company that embraces the value of bringing together, talented, and committed people with diverse experiences, perspectives, skills and backgrounds. The fastest way to breakthrough innovation is when people with diverse ideas, broad experiences, backgrounds, and skills come together in an inclusive environment. We encourage our colleagues to respectfully challenge one another's thinking and approach problems collectively.

Learn more about your rights, including under California, Colorado and other US State Acts

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, Monday - 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".

San Francisco Residents Only: We will consider qualified applicants with arrest and conviction records for employment in compliance with the San Francisco Fair Chance Ordinance

Los Angeles Residents Only: We will consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance

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:
05/9/2025
*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.