Associate Principal Scientist, Data Rich Experimentation

Job Description

Introduction:

We are a global biopharmaceutical leader with a diverse portfolio of prescription medicines, oncology, vaccines and animal health products. We are driven by our purpose to develop and deliver innovative products that save and improve lives. With 69,000 employees operating in more than 140 countries, we offer state of the art laboratories, plants and offices that are designed to inspire our employees as we learn, develop and grow in our careers.  We are proud of our over 125 years of service to humanity and continue to be one of the world’s biggest investors in Research & Development.

We are seeking a Senior Scientist to join our Data-Rich Experimentation (DRE) organization, within the Process Research & Developing Enabling Technologies (PR&D ET), located in either West Point, PA or Rahway, NJ.

Primary Responsibilities:

In this role, the chosen candidate will work with a team of scientists tasked with identifying, developing, and deploying data-rich tools and methodologies aimed at improving the manner in which process understanding is gathered. The technologies we develop are as diverse as the team developing them, and in this Senior Scientist role, the chosen candidate will help to establish an end-to-end Amazon Web Services/machine learning pipeline, leveraging data contextualization, to dramatically streamline our digital workflows in our biologics and vaccines portfolios.

Our DRE organization is responsible for the invention and application of new tools to support the scientists across process research & development. We aspire to embed data-intense tools into the fabric of the organization’s process development culture. This Senior Scientist role is a scientific position tasked with solving complex process R&D challenges in an interdisciplinary, collaborative environment via invention, development, and application of cutting-edge bioinformatics technologies. The DRE group is actively driving digital transformation within the Process R&D community and aspires to embed data-intense tools into the fabric of the organization’s process development culture.

We are seeking Data Engineers who are passionate about marrying data with emerging technologies. As a Data Engineer within our Company Process Research and Development, you’ll have the opportunity to be on the forefront of driving a major transformation. This role will allow the chosen candidate to collaborate with and across agile process development teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies.  They will utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake. Successful candidates will share their passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of our Companyk’s growing data driven community. The candidate will be expected to deliver robust cloud-based solutions that drive and accelerate drug development with our partners in Process Research and Development.

In addition to a passion for data-rich technologies, the chosen candidate should have excellent interpersonal, communication, and collaboration skills. The chosen candidate should embrace and model our core values of diversity, equity and inclusion, including fostering a supportive culture where all can thrive. The chosen candidate should be able to effectively collaborate in a dynamic, integrated, and multidisciplinary team environment. The chosen candidate should demonstrate a clear ability to perform impactful scientific innovation in a team-oriented manner that builds trusted partnerships across vast stakeholder networks. The chosen candidate should have a clear, demonstrated ability to publish and present research, including an established track record of interaction with the broader academic community. As such, the chosen candidate will join a diverse group of scientific problem solvers who are dedicated to creating the life-changing medicines and vaccines of tomorrow.

Education Minimum Requirement: 

• A B.S. in Computer Science, or a closely-related field.

Required Experience and Skills: 

• At least 4 years of experience in big data technologies

• At least 4 years experience with cloud computing (AWS, Microsoft Azure, Google Cloud)

• Background and experience in data science, data engineering, and machine learning/artificial intelligence.

• Highly-motivated and technology-centric scientist that is passionate about modernizing our Company’s process development practices across biologics, vaccines, and small molecule modalities.

• Demonstrated scientific ability through publications and presentations in scientific conferences.

• Excellent communication skills, demonstrated creativity, and effective interpersonal skills.

• Ability to deliver complex solutions under compressed timelines in a dynamic environment.

• Ability to work in a team environment with cross-functional interactions.

Preferred Experience and Skills:

• Experience with a public cloud (AWS, Microsoft Azure, Google Cloud)

• Experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL)

• Background in leveraging a broad range of machine learning and data science tools, including development and application of deep learning methodologies for predictive capabilities.

• Expertise in data analysis, including machine learning/artificial intelligence, chemometrics, statistical analysis, and multivariate data analysis.

• Utilization of tools within computational biology for processing, analysis, and modeling of data generated by multi-omics approaches.

• Evidence of cross-functional collaboration in an academic or industrial setting.

• Experience in research efforts focused on vaccines, biological molecules, bioconjugates, or general large molecules.

• Motivated to learn new skills, willingness to take on new challenges, and scientific curiosity.

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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:

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. 

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