Lead Machine Learning Scientist / Lead Data Scientist in Healthcare

Posted 18 Mar 2020

Rockland, Massachusetts - United States

Req Id 204793



A career with EMD Serono is an ongoing journey of discovery: our 56,000 people are shaping how the world lives, works and plays through next generation advancements in healthcare, life science and performance materials. For more than 350 years and across the world we have passionately pursued our curiosity to find novel and vibrant ways of enhancing the lives of others. EMD Serono is a business of Merck KGaA, Darmstadt, Germany.


Your role:

EMD Serono is going through an innovative data driven transformation. We are looking for an energetic individual with high business acumen to lead the development of advanced data driven techniques to solve complex problems within the healthcare business sector. As a resident subject matter expert in advanced statistical inference and machine learning techniques you have the opportunity to lead impactful data-driven solutions working together with business experts, data analysts, data scientists and data engineers within the Data Driven Innovation team. This position is ideal for someone who wants to apply their deep expertise in mathematics, programming and software engineering to crack hard to solve messy, real-world problems. The successful candidate will also be leading the efforts to operationalize novel data driven solutions and statistically measure its success.
•Translate business questions into clear and solvable data science problems
•Maximize value of existing data assets
•Develop data driven algorithms to solve complex problems within the healthcare business
•Apply rigorous statistical techniques to test hypotheses
•Extract actionable hidden patterns, clusters, commonalities and insights from large, complex datasets
•Engineer sound control groups to statistically test effect of business actions 
•Operationalize data driven solutions using sound software engineering and cloud engineering practices
•Communicate data-driven insights to a broad range of business partners

Who you are:
Minimum qualifications:
•Ph.D in Mathematics, Computer Science, Engineering, Statistics, or other highly quantitative field from a top school with outstanding grades and well cited peer-reviewed publications
•Proven track record of innovation in applied mathematics, data science and algorithms
•Proven track record of excellence in techniques such as high dimensional statistical modeling, hypothesis testing, time series analysis, causal inference, Bayesian inference, non-parametric multivariate regression, n-ary classification and clustering to solve real world problems (6+ years post Master's)
•Extensive experience in multiple programming languages such as Python, R, SQL, Javascript, C++, Java (5+ years post Master's)
•Experience and ability to develop novel data driven solutions by writing efficient and clean code in Python, R, SQL or any other non-proprietary language (3+ years post Ph.D. preferably in the corporate sector)
•Experience or ability to operationalize data driven solutions using sound cloud engineering techniques (2+ years post PhD preferably in the corporate sector)
•You are highly driven, creative, highly focused and require minimal day-to-day guidance
•You are a quick learner and you'll figure out a way to get the job done no matter what
•You never report results before thorough validation
•You imagine yourself having fun doing all the above

What we offer: With us, there are always opportunities to break new ground. We empower you to fulfil your ambitions, and our diverse businesses offer various career moves to seek new horizons. We trust you with responsibility early on and support you to draw your own career map that is responsive to your aspirations and priorities in life. Join us and bring your curiosity to life!

Curious? Apply and find more information at https://jobs.vibrantm.com

The Company is an Equal Employment Opportunity employer. No employee or applicant for employment will be discriminated against on the basis of race, color, religion, age, sex, sexual orientation, national origin, ancestry, disability, military or veteran status, genetic information, gender identity, transgender status, marital status, or any other classification protected by applicable federal, state, or local law. This policy of Equal Employment Opportunity applies to all policies and programs relating to recruitment and hiring, promotion, compensation, benefits, discipline, termination, and all other terms and conditions of employment. Any applicant or employee who believes they have been discriminated against by the Company or anyone acting on behalf of the Company must report any concerns to their Human Resources Business Partner, Legal, or Compliance immediately. The Company will not retaliate against any individual because they made a good faith report of discrimination.


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