Experience Inc. Jobs

Job Description

Our team seeks to unleash the power of statistics and data science in late-stage product development and manufacturing. We aspire to be drivers of innovation and digitalization, as well as thought directors in CMC (Chemistry, Manufacturing and Controls) data analytics to save and improve lives.

What you will do:

You will be an advocate for CMC statistics and data science and serve as a consultant to engineers, scientists, and principals in the manufacturing division. You will be a key member of cross functional teams and will provide statistical and data science expertise for designing experiments, modeling structured and unstructured data, and constructing data visualizations. You will provide technical support in design of experiments (DOE), analysis of data, statistical process control (SPC), simulation, design of sampling plans, and problem solving. You will also evaluate data for submissions and assist with replies to regulatory agencies and pharmacopoeia. You will mentor junior members of the organization and steer the introduction of cutting-edge technologies.

Minimum Education Requirement and Experience:

• Master of Science (MS) in Statistics, Applied Mathematics, Data Science, or Industrial Engineering (or equivalent) with ten (10) years of statistical and data science consulting skills in DOE, SPC, linear and nonlinear regression, general linear models, simulation, and multivariate methods OR

• PhD in Statistics, Applied Mathematics, Data Science, or Industrial Engineering (or equivalent) with five (5) years of coursework and skill set experience to include DOE, SPC, linear and nonlinear regression, general linear models, simulation, and multivariate methods

Required Skills and Experience:

• Ability to manage multiple projects/tasks simultaneously with contending priorities.

• Demonstrated resourcefulness and the ability to develop and implement innovations in practice of statistics and data science.

• Outstanding oral and written communication skills to convey complex mathematical concepts and analyses to others.

• Outstanding computing skills in packages such as R, SAS, JMP and Minitab.

• Ability to direct cross-functional teams, motivate people, delegate appropriately and resolve conflicts.

Preferred additional Skills and Experience:

• Experience in statistical and data science consulting in Chemical Manufacturing Controls (CMC) or Pharmaceutical Industry

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.

Residents of Colorado

Click here (https://survey.sogosurvey.com/r/O2fDro) to request this role’s pay range.

Current Employees apply HERE (https://wd5.myworkday.com/msd/d/task/1422$6687.htmld)

Current Contingent Workers apply HERE (https://wd5.myworkday.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 (https://survey.sogosurvey.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 (https://www.eeoc.gov/sites/default/files/2022-10/22-088_EEOC_KnowYourRights_10_20.pdf)

EEOC GINA Supplement​

Pay Transparency Nondiscrimination (https://www.dol.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 (https://www.msdprivacy.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, 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:

$181,600.00 - $285,800.00

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/) .

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.

Employee Status:

Regular

Relocation:

No relocation

VISA Sponsorship:

No

Travel Requirements:

10%

Flexible Work Arrangements:

Remote

Shift:

1st - Day

Valid Driving License:

No

Hazardous Material(s):

n/a

Required Skills:

Preferred Skills:

Job Posting End Date:

10/30/2024

*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: R317617