Sr. Scientist, Informatics

Merck & Co., Inc. Kenilworth, N.J., U.S.A. known as Merck in the United States and Canada, is a global health care leader with a diversified portfolio of prescription medicines, vaccines and animal health products. The difference between potential and achievement lies in the spark that fuels innovation and inventiveness; this is the space where Merck has codified its legacy for over a century. Merck?s success is backed by ethical integrity, forward momentum, and an inspiring mission to achieve new milestones in global healthcare.
Merck is on a quest for cures and is committed to being the world?s premier, most research-intensive biopharmaceutical company. Today, we?re doubling down on this goal. Merck Research Laboratories is a true scientific research facility of tomorrow, and will take Merck?s leading discovery capabilities and world-class small molecule and biologics R&D expertise to create breakthrough science that radically changes the way we approach serious diseases.
The Modeling and Informatics group is seeking a creative and self-motivated cheminformatician with exceptional interpersonal and problem solving skills to join our Informatics group in Boston. The successful candidate will work closely with discovery scientists to build and improve existing peptide/macromolecule design tools and apply these tools to the optimization of peptides in support of ongoing medicinal chemistry programs.
We are looking for a candidate with demonstrated experience in machine learning and excellent programming skills. A plus are:
? Working knowledge of peptide and/or protein modeling (e.g., improving stability, permeability), molecular descriptors, and the HELM notation
? Experience in developing structure-activity relationships
? Solid understanding of ADME or PK/PD properties and their application in drug discovery
? Experience with workflow applications and data analytics software (Pipeline Pilot, Knime, Spotfire, ?)
? Demonstrated ability to visualize complex data
? 2 years postdoctoral experience
The candidate will be located in Boston but the role will entail cross-site collaborations. For the first few months, the successful candidate is expected to travel regularly to our Kenilworth and Rahway sites in NJ.
Key responsibilities:
? Apply, create, and augment state-of-the-art tools for in silico peptide design
? Implement and apply prediction methods to improve potency, stability, permeability, and other biophysical properties of macromolecules
? Develop data visualization solutions for complex molecules
? Drive innovation of machine learning capabilities and uptake of predictive tools
? Collaborate with medicinal chemistry teams to guide SAR around permeability and stability
? Advance research in cheminformatics to enhance drug discovery and development processes
Ph.D. in chemistry / biochemistry / biophysics with a computational emphasis or Ph.D. in computer science/statistics with an emphasis on life science applications
Required Experience and Skills:
? 0 years of drug discovery experience in industry
? Excellent knowledge in at least one programming or scripting language (Python, R, ...)
? Demonstrated experience in machine learning and data science with applications to problems in the life sciences
? Track record of publications, patents, and/or scientific presentations
? Strong communication skills, both written and oral
? Ability to work well in multidisciplinary teams
Your role at Merck is integral to helping the world meet new breakthroughs that affect generations to come, and we?re counting on your skills and inventiveness to help make meaningful contributions to global medical advancement. At Merck, we?re inventing for life.
If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to staffingaadar@merck.com .
Search Firm Representatives Please Read Carefully:
Merck & Co., Inc. is not accepting unsolicited assistance from search firms for this employment opportunity. Please, no phone calls or emails. All resumes submitted by search firms to any employee at Merck via email, the Internet or in any form and/or method without a valid written search agreement in place for this position will be deemed the sole property of Merck. No fee will be paid in the event the candidate is hired by Merck as a result of the referral or through other means.
Visa sponsorship is not available for this position.
For more information about personal rights under Equal Employment Opportunity, visit:
EEOC Poster at http://www1.eeoc.gov/employers/upload/eeoc_self_print_poster.pdf
EEOC GINA Supplement? at http://www1.eeoc.gov/employers/upload/eeoc_gina_supplement.pdf
Merck is an equal opportunity employer, Minority/Female/Disability/Veteran ? proudly embracing diversity in all of its manifestations.
Job _Chemistry_
Merck is an equal opportunity employer, Minority/Female/Disability/Veteran ? proudly embracing diversity in all of its manifestations.
Other Locations: _NA-US-NJ-Rahway_
_Title:_ _Sr. Scientist, Informatics_
_Primary Location:_ _NA-US-MA-Boston_
_Requisition ID:_ _CHE005904_

Don't Be Fooled

The fraudster will send a check to the victim who has accepted a job. The check can be for multiple reasons such as signing bonus, supplies, etc. The victim will be instructed to deposit the check and use the money for any of these reasons and then instructed to send the remaining funds to the fraudster. The check will bounce and the victim is left responsible.