Insmed Incorporated

Associate Director, Data Science and Machine Learning

Job Post Information* : Posted Date 5 months ago(6/10/2024 1:37 PM)
External ID
R1427
Number of Positions
1
Position Location (WD) : Location
GB-GBR-CAM-
Position Location (WD) : Country (Full Name)
United Kingdom

Company Description

Insmed is a global biopharmaceutical company on a mission to transform the lives of patients living with serious and rare diseases. Our most valuable resource is our employees, and everything we do is motivated by a patients-first mentality. We are dedicated to growing our team with talented individuals from around the world who are willing to challenge the status quo, solve problems, and work collaboratively with a sense of urgency and compassion. 

Guided by our core values of collaboration, accountability, passion, respect, and integrity, we aim to foster an inclusive, diverse, and flexible work environment, where our employees are recognized for leaning in and rolling up their sleeves. If you share our vision and want to work with the most dedicated people in the biopharma industry, come to Insmed to accelerate your career. 

Recognitions

 

 

Sunday Times - Best Places to Work - Medium - 2024

One of the Best Places to Work in the UK

Across our global locations, we’re dedicated to making a meaningful impact on patients’ lives while building a positive and inclusive culture. In 2024, Insmed was listed as one of the Best Places to Work in the UK by The Sunday Times—a designation based on employees’ perceptions of reward and recognition, instilling pride, information sharing, empowerment, wellbeing, and job satisfaction.

  

 

Top-Employer-2024-Colors

Consistently Ranked Science’s Top Employer 

Insmed is dedicated to creating a collaborative environment where our team can thrive. Every day, our employees turn their passion for science and research into innovative solutions for patients. That’s why we’ve been named the No. 1 company to work for in the biopharma industry in Science’s Top Employers survey for four years in a row.

  

 

Insmed_US_English_2024_Certification_Badge_Resized

 

A Certified Great Place to Work®

We believe our company is truly special, and our employees agree. In July 2024, we became Great Place to Work-certified in the U.S. for the fourth year in a row. We are also honored to have been listed on the Best Workplaces in Biopharma™, Best Workplaces in New York™, PEOPLE® Companies That Care, Best Workplaces for Women™, Best Workplaces for Millennials™, and Best Medium Workplaces™ lists.

  

 

Summary

We are seeking an experienced data scientist to leverage data mining techniques, machine learning and other computational methods to identify new ways to treat human diseases. The successful candidate will bring enthusiasm, intellectual curiosity, statistical rigor, a keen interest in the applications of data science and machine learning techniques, and a deep-rooted desire to innovate.

Responsibilities

Key Responsibilities
  • Develop and deploy statistical and computational methods, employing AI/ML where appropriate, to tackle the company’s key scientific and therapeutic goals.
  • Be a key visionary and stake holder in our data science and ML strategy to deliver an ambitious and impactful analytical roadmap.
  • Collaborate with the wider informatics team on data science strategy and implementation.
  • Work with a variety of ‘omics data sets to characterise cell models, identify novel targets, and assess therapeutic efficacy of small molecular and nucleotide base therapeutics. 
  • Help to grow and develop a small team of data scientists and ML engineers to combat some of the more challenging questions in target discovery, drug discovery, and drug development.
  • Work closely with the Human Genetics and Computational Chemistry teams to guide, inform and assist in analyses in these areas. 
  • Collaborate with our wet lab scientists on experimental design and hypothesis testing for both wet and dry (in silico) experiments.
  • Present key findings to internal and external stakeholders in a manner targeted towards the intended audience.
  • Collaborate with platform developers and bioinformaticians to define a data storage strategy that is not only ML ready but optimised for data science and data mining applications.
Essential requirements
  • PhD in machine learning, data science, computational biology, or a similar discipline is required.
  • 5+ years of industry experience applying data science/ML techniques to genomics data and/or target discovery.
  • A strong understanding of state-of-the-art data mining and machine learning approaches and their application in solving the central challenges in target identification and drug discovery
  • A track record of mentoring more junior researchers.
  • Ability to conceptualise, implement and evaluate machine learning approaches.
  • A strong understanding of frequentist and/or Bayesian statistics, including data simulation, development of bespoke statistical tests, and de novo hypothesis generation.
  • Experience presenting the complex subject matter to non-expert audiences.
  • Experience working as part of a multidisciplinary team contributing to both short and long-term team goals.
  • High level of proficiency in writing python code or equivalent.
Desirable:
  • A keen interest in and passion for the evolving landscape of the data science field.
  • Experience working as part of a multidisciplinary team including software developers, platform developers, and/or bioinformaticians.
  • Experience running multiple data science projects at once within an AGILE framework or similar. 
  • Experience using version control (git) as part of a larger collaborative project.
  • Experience working with very large datasets, using parallel processing such as CUDA
This is an exciting opportunity for an enthusiastic and ambitious data scientist to a make a huge impact on the way we answer scientific questions and design therapeutics aiming to materially improve the lives of patients.This role is hybrid role with a requirement of an onsite presence.

Travel Requirements

N/A

Compensation & Benefits

We’re committed to investing in every team member’s total well-being, now and in the future. We offer a competitive total-rewards package to all employees around the world, including:

  • Flexible approach to where and how we work, regionally based
  • Competitive compensation package including bonus 
  • Stock options and RSU awards
  • Employee Stock Purchase Plan (ESPP)
  • Flexible Vacation Policy
  • Generous paid holiday schedule and winter break 

ADDITIONAL U.S. BENEFITS:

  • 401(k) plan with company match
  • Medical, dental, and vision plans
  • Company-provided Life and Accidental Death & Dismemberment (AD&D) insurance
  • Company-provided short and long-term disability benefits
  • Unique offerings of pet, legal, and supplemental life insurance
  • Flexible spending accounts for medical and dependent care
  • Accident and Hospital Indemnity insurance
  • Employee Assistance Program (EAP)
  • Mental Health on-line digital resource
  • Well-being reimbursement
  • Paid leave benefits for new parents
  • Paid time off to volunteer
  • On-site, no-cost fitness center at our U.S. headquarters

Additional Information

Insmed Incorporated is an affirmative action and equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information or any other characteristic protected by law.

 

Insmed is committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. To request reasonable accommodation to participate in the job application or interview process, please contact us by email at TotalRewards@insmed.com and let us know the nature of your request and your contact information. Requests for accommodation will be considered on a case-by-case basis. Please note that only inquiries concerning a request for reasonable accommodation will be responded to from this email address.

 

Unsolicited resumes from agencies should not be forwarded to Insmed. Insmed will not be responsible for any fees arising from the use of resumes through this source. Insmed will only pay a fee to agencies if a formal agreement between Insmed and the agency has been established. The Human Resources department is responsible for all recruitment activities; please contact us directly to be considered for a formal agreement.

 

Applications are accepted for 5 calendar days from the date posted or until the position is filled.

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