Job Information

Merck Director, Data Science, AI, & Genome Sciences, AI/ML Platform/Methodology Lead in REMOTE,

Job Description

Our Artificial Intelligence Machine Learning (AI/ML) capabilities are critical accelerators to our mission to delivering towards inventing new medicines that save and improve lives. Core to the Data, AI and Genome Sciences (DAGS) function is an AI/ML-first approach to improving target and biomarker discovery, validation and selection and elucidating complex disease mechanisms. As Director of Data Science, AI/ML Platform Lead you Develop and architect a modular framework to align, integrate, develop, and deploy different AI/ML modeling approaches to streamline insight generation. You will be part of a cross-functional team of computational biologists, bioinformaticians, data scientists, software engineers, and machine learning engineers that strive to identify therapeutic targets. You will report to the Executive Director, Head of AI/ML

Primary Responsibilities:

  • Develop and architect a modular framework to align, integrate, develop, and deploy different AI/ML modeling approaches to streamline insight generation.

  • Develop and architect a modular framework to align and integrate experimental data and ML/AI modeling results to facilitate wet-lab and dry-lab collaboration/integration.

  • Collaborate with cross-functional teams to understand project goals and design data-driven framework for target discovery.

  • Utilize advanced statistical methods, develop machine learning models and methodologies to identify potential drug targets, leveraging large-scale omics data, images, and clinical information.

  • Develop methodologies to integrate and impute diverse datasets, including omics, images, and clinical information to uncover disease biology and novel drug targets.

Required Experience and Skills:

  • PhD in quantitative field (computer science, math, physics, engineering) and 8+ years experience in developing and deploying ML/AI models and methodologies, including statistical methods, machine learning approaches such as variational autoencoder, probabilistic approaches, deep learning, and foundation models OR MS in quantitative or related field and 10+ years of experience OR BS and 14+ years of experience

  • Strong experience with Python libraries for data analysis (e.g. Pandas, NumPy, Matplotlib) and machine learning (e.g. scikit-learn, PyTorch)

  • Experience with ML model life cycle, MLOps, and/or SDK development.

  • Experience with healthcare and life science data is a plus.

  • Interest in learning disease biology is a must, prior experience with healthcare and life science data is preferred.

  • Excellent communication skills and ability to work collaboratively in multi-disciplinary team.

This is a hybrid position, with an expectation of 3 days/week onsite. Remote work can be considered for exceptional candidates with a proven history of developing and deploying modern ML techniques for biological and -omics datasets in a drug discovery and development context.

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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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”.

Under New York State, Colorado State, Washington State, and California State law, the Company is required to provide a reasonable estimate of the salary range for this job. 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 salary range:

$184,800.00 - $290,900.00

Available benefits include bonus eligibility, health care and other insurance benefits (for employee and family), retirement benefits, paid holidays, vacation, and sick days. For Washington State Jobs, a summary of benefits is listed here (https://www.benefitsatmerck.com/) .

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:

1st - Day

Valid Driving License:

No

Hazardous Material(s):

n/a

Required Skills:

Data Engineering, Data Modeling, Data Science, Data Visualization, Deep Learning, Machine Learning, Project Management, Software Development

Preferred Skills:

Life Science, Omics

Requisition ID: R278534