Senior Scientist, Pharmacometrics_

Albany

**Job Description**

**Senior Scientist** **, Quantitative Pharmacology and Pharmacometrics, AI/ML**

The Quantitative Pharmacology and Pharmacometrics (QP2) department drives model-informed drug discovery and development (MIDD) to routinely enable efficient drug discovery/development and/or regulatory decisions. The Pharmacometrics group within QP2 brings an experienced leadership team, deep modeling expertise and state-of-the-art modeling approaches across multiple therapeutic areas and modalities to drive portfolio impact from discovery through life-cycle management. The team is externally visible and continues to be at the leading edge of building innovative state of the art tools. With MIDD as an essential component of decision-making at our company this position offers an opportunity for the Senior Specialist to drive pipeline impact across therapy areas.

The Senior Specialist will develop and execute data science strategies leveraging artificial intelligence (AI), machine learning (ML) and natural language processing (NLP) techniques to enable model-informed drug development by partnering with scientists across QP2 to frame the critical drug development questions that these techniques can address and develop appropriate AI/ML-based strategies and solutions. The Senior Scientist will be part of a team responsible for integrating the AI/ML techniques within QP2 and will maintain knowledge of the rapidly evolving AI/ML landscape in search of the best strategies to enable QP2’s modeling analyses.

The ideal candidate is collaborative, eager to learn and not intimidated by tough scientific challenges. Excellent communication skills are required, including the ability to clearly present technical and strategic concepts in group settings. Experience applying machine learning methods and flexibility adapting these methods to unique use-cases in pharmacology is required.

QP2 offers a unique opportunity to accelerate your professional career as a quantitative drug developer taking advantage of our end-to-end pipeline support in one of the world’s most research-intensive biopharmaceutical companies.

**Required Experience:**

+ A Ph.D. or equivalent degree - OR- a MS or equivalent degree with at least four years of experience, where “experience” means having a record of increasing responsibility and independence in a similar role in pharmaceutical drug development or academia

+ An educational background in data science, machine learning, computer science, statistics/ biostatistics, mathematics, computational biology/chemistry, chemical/biomedical engineering, pharmaceutical sciences, or pharmacometrics.

+ Proficiency in application of machine learning techniques for classification/regression, feature selection, and/or reinforcement learning.

+ Understanding of generative and non-generative NLP approaches for automated information extraction

+ Understanding of current AI/ML and NLP methods and best practices.

+ Proficiency in R, Python, Julia, C/C++, or other similar programming language and machine learning frameworks such as scikit-learn, Keras, PyTorch, or similar

+ Proficiency in written and verbal communication

**Preferred Experience:**

+ Experience in applying machine learning techniques to biological or biomedical problems

+ Experience with High Performance Computing environments, Linux, and Bash scripting

+ Experience with Amazon Web Services and Jupyter Notebooks

+ Experience with pharmacometric analyses (e.g. population PK/PD, translational PK/PD, QSP modeling) and software (e.g. NONMEM, Monolix, Phoenix, Matlab, etc.)

+ Skills in experimental design, mathematical problem solving, critical data analysis/interpretation, and statistics

Your role at our company 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 our company, we’re inventing for life.

\#EBRG

_"This (remote) position is only applicable for those that are not within commutable distance to primary sites noted in posting. Please note that standard commute is (less than) <50 miles."_

**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.

**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.**

Current Employees apply HERE (yworkday.com/msd/d/task/1422$6687.htmld)

Current Contingent Workers apply HERE (yworkday.com/msd/d/task/1422$4020.htmld)

**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 (ogosurvey.com/r/aCdfqL) 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:

EEOC Know Your Rights (eoc.gov/sites/default/files/2022-10/22-088\_EEOC\_KnowYourRights\_10\_20.pdf)

EEOC GINA Supplement

Pay Transparency Nondiscrimination (ol.gov/sites/dolgov/files/OFCCP/pdf/pay-transp\_%20English\_formattedESQA508c.pdf)

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.

Learn more about your rights, including under California, Colorado and other US State Acts (sdprivacy.com/us/en/CCPA-notice/)

**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”.

Under New York State, Colorado State, Washington State, and California State law, the Company is required to provide a reasonable estimate of the salary range for this job. 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 salary range:

$122,800.00 - $193,300.00

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 (enefitsatmerck.com/) .

**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/International

**VISA Sponsorship:**

Yes

**Travel Requirements:**

10%

**Flexible Work Arrangements:**

Remote

**Shift:**

1st - Day

**Valid Driving License:**

No

**Hazardous Material(s):**

N/A

**Required Skills:**

Business Intelligence (BI), Database Design, Data Engineering, Data Modeling, Data Science, Data Visualization, Machine Learning, Project Management, Software Development, Stakeholder Relationship Management

**Preferred Skills:**

**Job Posting End Date:**

07/15/2024

***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.**

**Job Posting End Date:** 07/15/2024

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.

**Requisition ID:** R301517