Principal Scientist, Statistics & Comput
Moderna Therapeutics

Job Order #: 21082766

Cambridge, MA 02141

Full Time

40 hours per week

POSTED 7/8/2024

EXPIRES 10/1/2024

Job Description

The Role

Moderna is seeking a statistical scientist deeply passionate about empirical research in drug discovery and early development. You will lead and execute computational strategies for drug design, develop novel methodologies, and partner with scientists to advance Moderna's platform technology.

This position requires a strong foundation in data analysis and applied statistics. You will contribute to critical decision-making across the life cycle of drug discovery and development. This position has significant visibility and potential for growth in a dynamic organization.

Here's What You'll Do

* Lead computational investigations into the impact of novel formulations on biology. Partner with cross-functional teams to develop principled design of experiment strategies (e.g., adaptive designs, optimal designs), statistical models and computational methods.

* Design and carry out data analysis strategies (normalization, statistical inference) for biophysical measurements and bioassays (e.g., ELISA, amplicon-seq, mass spec).

* Explore and build novel statistical models or machine learning methods to advance our platform technology.

* Collaborate with bioinformatic engineers and develop tools to enable data democratization.

* Independently manage multiple concurrent, fast-paced projects across Moderna's research ecosystem. Partner with wet-lab and dry-lab scientists.

* Contribute to our culture of best data practices and statistical excellence. Conduct educational seminars on statistics and computational methods.

Here's What You'll Need (Minimum Qualifications)

* Ph.D. in Statistics, Biostatistics, or related quantitative discipline

* 5+ years of relevant academia or industry experience (post PhD) is required

* Establish records working with cross-functional teams (e.g., publications, work experiences)

* Strong coding skills with R and Python

* Excellent written and oral communication skills

Here's What You'll Bring to the Table (Preferred Qualifications)

* Establish record of analyzing multiple data types and building principled statistical models

* Establish expertise in one of the following:

* High-dimensional biological data analysis and methods

* Empirical Bayesian methods

* Reinforcement learning, active learning

* Experience with Python, version control tools (git, GitHub), high performance computing and AWS cloud computing platform

* Positive team building and team work skills: innate ability to influence, lead and inspire people, within function and beyond functional/company boundaries

* Candidate will be curious in exploring new path for drug discovery, bold in proposing creative experimental designs and statistical methods. Will work collaboratively with multifunctional teams and will be relentless in pursuing successful outcomes.

Moderna is pleased to provide you and your family with a comprehensive and innovative suite of benefits, including:

* Highly competitive and inclusive medical, dental and vision coverage options
* Flexible Spending Accounts for medical expenses and dependent care expenses
* Lifestyle Spending Account funds to help you engage in personal enrichment and self-care activities
* Family care benefits, including subsidized back-up care options and on-demand tutoring
* Free
To view the full job description please use the link below.
https://modernatx.wd1.myworkdayjobs.com/M_tx/job/Cambridge-Massachusetts/Principal-Scientist--Statistics---Computational-Methods_R15674-1

How To Apply

https://www.aplitrak.com/?adid=YmJnZW5lcmljLjg2Nzc3LjEwNDU0QG1vZGVybmF0eGNvbXAuYXBsaXRyYWsuY29t

Address

320 Bent St.
Cambridge, MA 02141

Get Directions

Shift

First

Not Specified

Per Diem Position

No

Union Position

No

Apprenticeship

No

Pay

Not Specified

Benefits

Not Specified

Benefit Details

Name

Moderna Therapeutics

Title

Not Specified

Email

Not Specified

Phone

617-714-6500

Address

320 Bent St.
Cambridge, MA 02141

Website

PREVIOUS JOB LISTING

NEXT JOB LISTING