Job Information
Merck Director, Generative AI / Protein Engineering in Cambridge, Massachusetts
Job Description
Our Company Discovery Biologics is seeking an exceptional generative AI protein engineer as a Director to drive the advancement and application of methods in de novo design and lead optimization in support of our biotherapeutic pipeline. In addition to the technical responsibilities, the individual is expected to lead discovery projects through PCC declaration.
The role carries managerial responsibilities for a future direct report and a post-doctoral fellow. The role is based out of our Cambridge, MA facility. Although on site presence is preferred, a remote work location is possible.
We recognize that the diversity in our team is our strength and are committed to creating an inclusive environment for all employees. Successful candidates must demonstrate inclusive behaviors in working with a diverse group of scientists to drive our core mission.
Key Responsibilities:
Advance and apply generative AI protein engineering methods to drive the invention of novel biologic therapeutics; including de novo design and lead optimization.
Serve as a project co-lead on pipeline projects to advance biologics candidates through PCC
Lead direct reports to drive their pipeline impact and personal growth and development
Foster a high-performance culture of collaboration, engagement, self-accountability and inclusion.
Effectively partner across multidisciplinary interfaces to achieve organizational objectives.
Support partnerships and partnering opportunities with biotech and academia to drive new and existing capability collaborations and evaluations.
Stay abreast of external advancements in the relevant scientific fields.
Promote the external reputation of our Company Discovery Biologics.
Qualifications:
Education:
Ph.D. (with 6 years) or Bachelor's / Master's (with 12 years) in a technology, life sciences or related discipline and relevant industry experience listed below
Required Experience and Skills:
Expert-level knowledge in applying generative AI methods towards protein engineering goals, including de novo design and lead optimization
Experience advancing methods to improve the performance of generative AI methods for protein engineering
Deep scientific knowledge across workflows and domains integral to the discovery of protein therapeutics
Prior experience in advancing protein therapeutics within discovery
Experience mentoring and developing colleagues through formal and informal means.
Excellent communication and collaboration skills
Has established of a strong external reputation through high-impact publications, presentations, and scientific community engagement
Demonstrated passion for, and a track record of talent development
Champion for diverse and inclusive culture
Preferred Experience and Skills:
Project leadership experience across Discovery stages, from tool-molecule generation through preclinical development of therapeutic candidates
Experience in managing external collaborations
Prior line management experience
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”.
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:
$184,800.00 - $290,900.00
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 (https://www.benefitsatmerck.com/) .
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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:
Regular
Relocation:
Domestic/International
VISA Sponsorship:
Yes
Travel Requirements:
25%
Flexible Work Arrangements:
Hybrid
Shift:
1st - Day
Valid Driving License:
No
Hazardous Material(s):
No
Required Skills:
Data Engineering, Design Applications, Information Security, Machine Learning, Software Development, Software Development Life Cycle (SDLC), System Designs, Systems Integration, Testing
Preferred Skills:
Job Posting End Date:
09/30/2024
*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.
Job Posting End Date: 09/30/2024
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.
Requisition ID: R309194