Senior Data Scientist

Abbott is a global healthcare leader that helps people live more fully at all stages of life. Our portfolio of life-changing technologies spans the spectrum of healthcare, with leading businesses and products in diagnostics, medical devices, nutritionals and branded generic medicines. Our 114,000 colleagues serve people in more than 160 countries.

Abbott Established Pharmaceutical Division (EPD) is looking for a

Senior Data Scientist

for its global Pharma Division Headquarter based in Allschwil- Basel.

Primary Job Function:

Senior Data Scientist rapidly navigates from identifying priorities/helping to generate ideas to implementing the solution. He/she has a passion to see own work translated in business results.

He/she oversees/supports Advanced Analytics (AA) activities within his/her area for EPD globally and ensures that business objectives are tracked and achieved (in collaboration with key stakeholders).

With increasing experience, he/she is responsible for understanding core business challenges and needs and for deriving a suitable global AA roadmap based on this understanding in collaboration with key stakeholders.

He/she actively takes part in the development, deployment and integration of prioritised Advanced Analytics solutions in collaboration with local/regional cross-functional teams and/or external partners, including e.g.,

Setting up / leading / supporting ideation and scoping sessions with business stakeholders

Choosing and using the right analytical libraries, programming languages and frameworks for each task

producing high-quality code that allows us to put solutions into production

refactoring code into reusable libraries, APIs, and tools

Core Job Responsibilities:

Help build and maintain a close contact to key business stakeholders and relevant communities

Build effective and efficient AA solutions to business needs, leveraging available market resources as much as possible

Help derive and continuously refine AA guidelines and standards through synthesizing learnings from prioritized AA initiative (“learning while doing and driving impact”).

Master in relevant field (e.g., applied mathematics, computer science, engineering, applied statistics)

At least 4 years (senior) of relevant working experience, ideally in pharma environment

Good /solid experience working on full-life cycle data science; experience in applying data science methods to business problems (experience in the financial/commercial or manufacturing / supply chain areas a plus).

Strong experience in e.g., data mining, statistical modelling, predictive modeling and development of machine learning algorithms

Practical experience in deploying machine learning solutions

Programming experience in R or Python and ideally also in object-orientated programming such as e.g., C, C++, Java

Good understanding of good software engineering principles

Good knowledge of testing frameworks and libraries

Experience of AWS / Sagemaker a plus

Proven problem-solving ability in international settings

Strong background in analytics and statistics

Proven communication skills

Intrinsic motivation to guide people and make Advanced Analytics more accessible to a broader range of stakeholders. Ability to work with cross-functional teams and bring business and data science closer together - consultancy experience a plus

Fluency in English a must, additional languages a plus

Do you like the sound of this job and think you’ve got what it takes? Then send us your CV today. We look forward to receiving your application as pdf.

(If you want to upload several documents, don`t save in between uploading them to be able to do so. Once you save your uploads, you will not be able to add more documents)

The base pay for this position is

N/A

JOB DESCRIPTION:

Abbott is a global healthcare leader that helps people live more fully at all stages of life. Our portfolio of life-changing technologies spans the spectrum of healthcare, with leading businesses and products in diagnostics, medical devices, nutritionals and branded generic medicines. Our 114,000 colleagues serve people in more than 160 countries.

Abbott Established Pharmaceutical Division (EPD) is looking for a

Senior Data Scientist

for its global Pharma Division Headquarter based in Allschwil- Basel.

Primary Job Function:

• Senior Data Scientist rapidly navigates from identifying priorities/helping to generate ideas to implementing the solution. He/she has a passion to see own work translated in business results.

• He/she oversees/supports Advanced Analytics (AA) activities within his/her area for EPD globally and ensures that business objectives are tracked and achieved (in collaboration with key stakeholders).

• With increasing experience, he/she is responsible for understanding core business challenges and needs and for deriving a suitable global AA roadmap based on this understanding in collaboration with key stakeholders.

• He/she actively takes part in the development, deployment and integration of prioritised Advanced Analytics solutions in collaboration with local/regional cross-functional teams and/or external partners, including e.g.,

• Setting up / leading / supporting ideation and scoping sessions with business stakeholders

• Choosing and using the right analytical libraries, programming languages and frameworks for each task

• producing high-quality code that allows us to put solutions into production

• refactoring code into reusable libraries, APIs, and tools

Core Job Responsibilities:

• Help build and maintain a close contact to key business stakeholders and relevant communities

• Build effective and efficient AA solutions to business needs, leveraging available market resources as much as possible

• Help derive and continuously refine AA guidelines and standards through synthesizing learnings from prioritized AA initiative (“learning while doing and driving impact”).

Minimum Education:

• Master in relevant field (e.g., applied mathematics, computer science, engineering, applied statistics)

Minimum Experience/Training Required:

• At least 4 years (senior) of relevant working experience, ideally in pharma environment

• Good /solid experience working on full-life cycle data science; experience in applying data science methods to business problems (experience in the financial/commercial or manufacturing / supply chain areas a plus).

• Strong experience in e.g., data mining, statistical modelling, predictive modeling and development of machine learning algorithms

• Practical experience in deploying machine learning solutions

• Programming experience in R or Python and ideally also in object-orientated programming such as e.g., C, C++, Java

• Good understanding of good software engineering principles

• Good knowledge of testing frameworks and libraries

• Experience of AWS / Sagemaker a plus

• Proven problem-solving ability in international settings

• Strong background in analytics and statistics

• Proven communication skills

• Intrinsic motivation to guide people and make Advanced Analytics more accessible to a broader range of stakeholders. Ability to work with cross-functional teams and bring business and data science closer together - consultancy experience a plus

• Fluency in English a must, additional languages a plus

Do you like the sound of this job and think you’ve got what it takes? Then send us your CV today. We look forward to receiving your application as pdf.

(If you want to upload several documents, don`t save in between uploading them to be able to do so. Once you save your uploads, you will not be able to add more documents)

The base pay for this position is

N/A

In specific locations, the pay range may vary from the range posted.

JOB FAMILY:

Research and Discovery

DIVISION:

EPD Established Pharma

LOCATION:

Switzerland > Basel : H-127 A2

ADDITIONAL LOCATIONS:

WORK SHIFT:

Standard

TRAVEL:

Not specified

MEDICAL SURVEILLANCE:

Not Applicable

SIGNIFICANT WORK ACTIVITIES:

Not Applicable

About Us

Abbott is about the power of health. For more than 135 years, Abbott has been helping people reach their potential — because better health allows people and communities to achieve more. With a diverse, global network serving customers in more than 160 countries, we create new solutions — across the spectrum of health, around the world, for all stages of life. Whether it’s next-generation diagnostics, life-changing devices, science-based nutrition, or novel reformulations, we are advancing some of the most innovative and revolutionary technologies in healthcare, helping people live their best lives through better health.

The people of Abbott come to work each day with relentless energy, enthusiasm and a promise to enhance the health and well-being of millions of people. They push the boundaries to help manage and treat some of life’s greatest health challenges.

We invite you to explore opportunities at Abbott , to see if your talents and career aspirations may fit with our openings. An equal opportunity employer, Abbott welcomes and encourages diversity in our workforce.