Technical Product Manager - Search, Summary, and Insight (On-site)

Job Description

The Search, Summarize, and Insights Technical Product Manager will drive the development of new Natural Language Processing (NLP) and Generative AI workflows for knowledge management and insight generation from unstructured data. These workflows will help solve real world problems in the space of drug discovery, development, and delivery.

A key initial focus will be leading the delivery of tailored, end-to-end solutions for text understanding use cases, such as systematic literature review and ad hoc question answering capabilities. As the Technical Product Manager, you will also partner with technical leads and collaborators across the organization to ensure the adoption and evolution of our strategic vision in this area. Strategically, we aim to build with an emphasis on software product reuse – enabling downstream teams and faster delivery of future workflows – and software product innovation – allowing experimentation and quick deployment upon success.

The position is embedded in a cross-disciplinary team of data scientists, bioinformaticians, and engineers that are all focused on using cutting-edge software, AI/ML, and data science techniques to drive drug discovery and development. 

You enjoy:  

• Product ownership: shepherding software development from inception to continuous agile delivery

• Collaboration: partnering with experts from diverse functions (e.g., scientific, engineering, software technology, leadership) Building novel tools that enable the discovery, development, and delivery of new therapeutics to patients in need 

• Discovery: Understanding real-world challenges and developing automated data solutions for them 

• Stakeholder engagement: Directly interacting with users and sponsors of your data science, ML, and AI products 

• ML and Large Language Model operations (ML/LLM Ops): Implementing and standardizing on approaches for the evaluation and monitoring of such models in development and deployment.

• Accountable independence: Freedom to raise and explore new ideas that interest you, based on your understanding of the customers of our products

• AI innovation: Staying updated on the newest methods in NLP, ML, and generative AI 

• Knowledge sharing: Presenting the approaches your teams implement and their impact with internal company audiences and externally 

You have: 

The following are preferred skills and experience, not strict requirements 

• Experience with product management, including the delivery of data- and/or ML-driven products from conception to deployment, and approaches for standard product management tasks such as business analysis, problem discovery, product discovery, and prioritization.

• Experience leading agile software development teams and with agile best practices

• Experience with best practices for technical software development and deployment, such as continuous integration practices  

• Experience with best practices in Software Development Life Cycle (SDLC) management, including the delivery of documentation and product releases compliant with predefined standards

• A demonstrated ability to engage cross-functional teams and stakeholders, including an eagerness to acquire a level of domain knowledge 

• Excellent communication, teamwork, didactic, and leadership skills, including skills for scientific communication (authoring scientific articles and presenting) and guidance and mentorship of junior employees and less experienced collaborators 

• Experience with programming in Python, full-stack software development, good documentation practices, version control and collaboration with git, environment management (e.g., poetry, conda, docker), DevOps tooling (e.g., Infrastructure as Code, Github Actions, Kubernetes), and ML/LLMOps tooling (e.g., MLFlow, LangFuse)

• Experience data engineering approaches and frameworks such as Apache Spark and orchestration frameworks such as Airflow, and/or experience with semantic search and retrieval frameworks (e.g., development and benchmarking of embedding models and retrieval approaches in the context of Retrieval Augmented Generation, RAG). 

• ⁠Working knowledge of statistical learning, such as supervised, unsupervised, and weakly supervised learning, particularly in NLP contexts. 

• Working knowledge of NLP and/or Generative AI libraries (e.g., regular expressions, spacy, langchain), text annotation tools, and/or semantic frameworks (e.g. RDF triplestores, property graphs, ontology management). 

Minimum Requirements: 

• Candidates should have a minimum level of relevant experience (product management, data science/AI/ML project/product delivery) depending on their degree experience.

• PhD: 2+ years relevant experience,

• M.A/M.S.: 3+ years, B.A/B.S.: 4+ years

Additional job details:  

The types of data these products focus on are both internal (e.g., electronic lab notebooks, safety reports, regulatory documents, clinical results) and external (e.g., public literature and Electronic Medical Records). In addition to new tool development, we often consult on how our tools, capabilities, and expertise can support the projects of some of our 5,000+ stakeholders (scientists, engineers, regulatory liaisons, data scientists, etc.), as well as additional stakeholders from across our multi-national company. As part of our work, we have opportunities to coauthor presentations, reports, manuscripts, and/or public code releases. 

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.

Current Employees apply HERE

Current Contingent Workers apply HERE

US and Puerto Rico Residents Only:

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.

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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We are proud to be a company that embraces the value of bringing diverse, talented, and committed people together. The fastest way to breakthrough innovation is when diverse ideas 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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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 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:

$135,500.00 - $213,400.00

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.

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:

No

Travel Requirements:

10%

Flexible Work Arrangements:

Not Applicable

Shift:

1st - Day

Valid Driving License:

No

Hazardous Material(s):

n/a

Required Skills:

Asset Management, Benefits Management, Machine Learning Techniques, Management System Development, Product Management, Requirements Management, Software Development Life Cycle (SDLC), Stakeholder Relationship Management, Strategic Planning, System Designs

Preferred Skills:

Machine Learning Operations

Job Posting End Date:

10/15/2024

*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.