Associate Director, Data Scientist Pathology

Job Description

The Anatomic Pathology Group at our Company's South San Francisco site is seeking a passionate and talented Associate Principal Scientist with experience in bioinformatics and statistics to solve biological problems. The successful candidate will join a dynamic digital and quantitative multi-omics department to perform quantitative and statistical analysis on large-scale datasets to support novel drug and biomarker development.

Key Responsibilities:

• This is an individual contributor role as a subject matter expert responsible to implement data analytical tools and apply rigorous statistical methodologies to transform complex biomarker data into insights that can be readily used in drug development.

• Develop end-to-end data visualization tools and conduct spatial analyses to understand and interpret complex high-dimensional data. Perform data mining and data wrangling on large-scale datasets derived from multi-omic data (i.e. imaging, single-cell RNAseq, genomics data, flow cytometry, spatial transcriptomics) to understand target biology, mechanisms of action, and to help identify potential clinical biomarkers.

• Integrate high-throughput assays, including genomics, transcriptomics, proteomics, and imaging datasets.

• Collaborate proactively across disciplines, engaging with pathologists, machine learning scientists, molecular biologists, immunologists, protein scientists, bioinformaticians, and software engineers.

Qualifications:

Education:

• Ph.D. degree in the field of computational biology, informatics or related field with four (4) years of relevant work experience in Statistics, Biostatistics, Data Science or Bioinformatics

Required Experiences and Skills:

• At least 4 years of professional experience in the computational analysis and biological interpretation of diverse large-scale and high-dimensional datasets

• Previous experience leading projects that integrate results from multi-omics data sources to gain biological insights and drive discovery research

• Evidence of developing customized analytical approaches or pipeline for specific research needs through publications or patents

• Evidence of implementation of fundamental and advanced statistical techniques for non-clinical and clinical studies through publications or patents

• Strong command of Python and R for application in bioinformatics

• Exceptional oral and written communication skills

Preferred Experiences and Skills:

• Experience leading cross functional projects within the industry setting

• Familiarity with whole slide imaging (WSI) data management and image processing software such as QuPath and Definiens

• Command of machine learning platforms such as TensorFlow and PyTorch

• Knowledge and experience in computational analysis for image-based histological or tissue-based assay readouts

• Previous experience in the experimental design

• Experience in version control environments such as Git

• Proficient in working with high-performance Linux clusters and cloud computing environments

#EligibleforERP

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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, 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.

The salary range for this role is

This is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting. An employees position within the salary range will be based on several factors including, but not limited to relevant education, qualifications, certifications, experience, skills, geographic location, government requirements, and business or organizational needs.

The successful candidate will be eligible for annual bonus and long-term incentive, if applicable.

We offer a comprehensive package of benefits. Available benefits include medical, dental, vision healthcare and other insurance benefits (for employee and family), retirement benefits, including 401(k), paid holidays, vacation, and compassionate and sick days. More information about benefits is available at .

You can apply for this role through (or via the Workday Jobs Hub if you are a current employee). The application deadline for this position is stated on this posting.

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.

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