Senior Specialist, Data Science - Image Data Analytics

Job Description

Our team is a diverse collection of scientists and engineers working towards the same goal – enabling and accelerating the next generation of pharmaceutical sciences. We collaborate closely with laboratory and in silico scientists, proposing and implementing innovative solutions that enable new organizational capabilities.

Scientists in the Image Data Analytics Team within the Data Science and Scientific Informatics department of Research and Development Sciences IT (RaDS-IT) organization of our Research division focuses on developing techniques for quantitative analysis of multi-dimensional images to assist the assessment of studies on the safety and efficacy properties of drug candidates. The team works on a wide range of modalities, including histology, CT, MRI, PET, and florescence microscopy, as well as related modalities such as mass spectrometry and flow cytometry. A successful applicant will apply image processing, signal processing, computer vision, machine learning, and data mining techniques to extract and automate the extraction of meaningful information from these high-dimensional, multi-modality datasets. The position will collaborate with scientists and engineers across the entire breadth of the pharmaceutical pipeline, from discovery to clinical assessment. The position presents an opportunity to apply cutting-edge data science techniques to an emerging field with exciting and impactful applications in drug discovery and development.

Education Requirements:

• Master’s or PhD degree in Electrical Engineering, Computer Science, Biomedical Engineering, Data Science, Bioinformatics, Applied Mathematics, Statistics, or related scientific / engineering degree.

Required Experience and Skills:

• Sound knowledge and hands-on experience in areas such as machine learning, pattern recognition, data mining, image processing, computer vision, signal processing, and statistics

• Experience in biomedical image processing in a medical, healthcare and/or pharmaceutical domain

• Fluency in at least one programming language, e.g. python, R, C++, java

• Demonstrated ability to engage research scientists in many fields, including an eagerness to acquire a level of domain knowledge

• Manage project schedule, communicate with collaborators, and deliver results on a timely basis with high level of independence and discipline

• Conduct research and apply proper mathematical and computation tools to move projects forward independently or with proper guidance from senior team members

• Identify opportunities for new collaborations, engage collaborators, identify business needs and values, and propose and make plans for proper solutions

• Provide guidance and mentorship for team members and collaborators within and outside the organization

• Identify opportunities for innovations and execute

• Ability to write scientific report and research articles and conduct scientific presentations

• Excellent team player

• Excellent verbal and written communication skills are required

Preferred Experience and Skills:

• Experience in handling histology images, e.g. H&E, IHC

• Experience in handling radiology images, e.g. CT, MRI, PET

• Experience in deep learning packages such as PyTorch, TensorFlow, Keras, MXNet

• Experience in high performance computing, GPU computing, and Cloud computing

• Knowledge in bioinformatics and genomics

• Experience with big data tools e.g. Hadoop, Spark

• Publication history in related fields

Current Employees apply HERE

Current Contingent Workers apply HERE

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 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.

Learn more about your rights, including under California, Colorado and other US State Acts

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:

$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.

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:

Domestic

VISA Sponsorship:

No

Travel Requirements:

10%

Flexible Work Arrangements:

Hybrid

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, Software Development, Stakeholder Relationship Management, Waterfall Model

Preferred Skills:

Job Posting End Date:

01/11/2025

*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.

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