Associate Director-Technical Product Management (Hybrid)
USA - Pennsylvania - West Point
Job Description
The Product Manager, Research Storage and Compute is responsible for developing and implementing storage and compute solutions to support Bio-Pharma Research needs. Storage and compute solutions enabled by this product will support majority of the workflows needed for discovery, preclinical research and product development for clinical supply. Usage of the solutions span from scientific simulations including Grace and Gaussian to data intensive simulations using AI/ML and deep learning.
Product Manager will work closely with research stakeholders to understand their needs, define and groom backlog, and enable solutions in an agile fashion. This will lead a cross-functional team of product analysts and engineers to architect, engineer and implement solutions to support the stakeholder needs.
Key responsibilities:
Collaborate with research stakeholders to understand their requirements and translate them into actionable backlog items.
Define and groom backlog to enable development of solutions in an agile fashion.
Develop storage and compute solutions to meet the specific needs of the Bio-Pharma Research teams
Develop a comprehensive strategy and roadmap for the product, aligned with the organization's goals and objectives.
Be accountable for the total cost of ownership of solutions and services in the product, ensuring cost-effective and efficient solutions.
Make investment decisions based on the value generated for the users, balancing business needs and user requirements.
Lead a cross-functional team of product analysts and engineers to deliver high-quality solutions and services.
Ensure configuration and health of multiple components in a predominantly Linux environment in AWS.
Ensure the reliability, availability, and performance of the dynamic environment, taking proactive measures to address any issues that arise.
Education:
Bachelor's degree in computer science, engineering, or a related field. A master's degree is preferred but not required.
Required experience:
8-10 years' experience directly related to operation and support of scientific computing platforms
A minimum of 3 years' experience in a leadership role
Strong understanding and hands-on engineering experience in cloud storage and compute solutions.
Excellent understanding of High-Performance computing and its applications in biopharma research.
Proven experience working with research stakeholders to understand their needs and translate them into actionable backlog items.
Experience developing product strategies and roadmaps.
Familiarity with agile development methodologies and practices.
Strong leadership skills and ability to lead cross-functional teams effectively.
Experience implementing, scripting, and operating cloud-based infrastructure, preferably in AWS.
Proficiency in configuring, administering, and maintaining components in a predominantly Linux environment.
Experience in ensuring reliability, availability, and performance of dynamic environments.
Demonstrated ability to clearly communicate technical and non-technical information verbally and in writing
Preferred Experience:
Experience with GPU computing and AWS technologies
Experience managing HPC environment with PBS Pro, Univa/Grid Engine, Kubernetes, Nextflow, or others
Experience with container technologies
Experience with Computational Chemistry, Computational Biology and Scientific Programming
Knowledge of the drug discovery process
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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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 - $213,400.00Available 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
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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:
RegularRelocation:
No relocationVISA Sponsorship:
NoTravel Requirements:
25%Flexible Work Arrangements:
HybridShift:
1st - DayValid Driving License:
NoHazardous Material(s):
N/ARequired Skills:
Agile Methodology, Agile Scrum Development, Asset Management, Computing, Product Management, Requirements Management, Stakeholder Relationship Management, Strategic Planning, System Designs, Total Cost of Ownership (TCO)Preferred Skills:
Job Posting End Date:
11/3/2024*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.
ApplyJob Profile
Hybrid Hybrid work Hybrid work model On-site Puerto Rico residents only US and Puerto Rico residents only
Benefits/PerksBonus eligibility Diverse workplace Equal opportunity employer Flexible work Flexible work arrangements Hybrid work Hybrid work model Inclusion Inclusive environment Insurance Leadership role Paid holidays Retirement benefits Separation benefits package Sick Days Vacation
Tasks- Collaborate with stakeholders
- Compliance
- Define and groom backlog
- Develop storage and compute solutions
- Ensure system reliability and performance
- Innovation
- Lead cross-functional teams
- Leadership
- Planning
- Product management
- Relationship Management
- Strategic Planning
Agile Agile Development Agile methodologies Agile Methodology AI AI/ML Asset management AWS Biology Biopharma Chemistry Clinical Clinical Supply Cloud Cloud compute Cloud Storage Compliance Computational Computational Biology Computational chemistry Computer Computer Science Configuration Container technologies Cross-functional Teams Data Deep Learning Development Drug Discovery Drug discovery process Education Engineering GPU Computing High Performance Computing Hpc management Inclusion Infrastructure Innovation Kubernetes Leadership Learning Linux Management Manufacturing Methodologies Methodology ML Nextflow Organization Pharma Planning Policy Product Development Product Management Programming Quality Relationship Management Reliability Research Science Scientific computing Scientific programming Scripting Scrum Strategic planning Strategy Talent Acquisition Teams Technical Writing
Experience8 years
EducationAS Associate Bachelor Bachelor's Bachelor's degree Bachelor's degree in Computer Science Biology Business Chemistry Computational Biology Computational chemistry Computer Science Engineering Management Master Master's Master's degree Related Field Science
Certifications TimezonesAmerica/Anchorage America/Chicago America/Denver America/Los_Angeles America/New_York Pacific/Honolulu UTC-10 UTC-5 UTC-6 UTC-7 UTC-8 UTC-9