Data Analyst - Marlborough, United States - Cytiva

Cytiva

Verified Company

Marlborough, United States

4 weeks ago

Posted by:

Mark Lane

beBee recruiter

Description

Be part of something altogether life-changing
Working at Cytiva means being at the forefront of providing new solutions to transform human health.

Our incredible customers undertake life-saving activities ranging from fundamental biological research to developing innovative vaccines, new medicines, and cell and gene therapies.

At Cytiva you will be able to continuously improve yourself and us - working on challenges that truly matter with people that care for each other, our customers, and their patients.

With associates across 40+ countries, Cytiva is a place where every day is a learning opportunity - so you can grow your career and expand your skills in the long term.

Forming part of the Biotechnology segment at Danaher, we bring together dedicated technical expertise and talent to develop the next generation of life-changing therapeutics.

The _Data Analyst_ for Cytiva is responsible _for Design and Development of Service Platform & Products _to enable remote troubleshooting and diagnostics.

This position is part of the_ Global Service R&D Organization_ located in Marlborough, USA and will be a Hybrid role.

At Cytiva, our vision is, to advance future therapeutics from discovery to delivery.

In this role, you will have the opportunity to:

Leverage the power of AWS (Amazon Web Services) to build scalable and efficient data processing and analysis pipelines. Utilize services such as S3 for data storage, and Sage Maker for model training and deployment.
Collaborate effectively with crossfunctional teams, including data scientists, software engineers, and business stakeholders. Clearly communicate technical concepts, methodologies, and findings to both technical and nontechnical audiences.
Stay updated on the latest advancements in NLP, machine learning, cloud computing, and data analytics technologies. Proactively seek opportunities to enhance your skills and knowledge through training, selfstudy, and handson experimentation.
Flexible approach to problems solving with a sense for technical pragmatism and a strong focus on delivery, without sacrificing quality.

The essential requirements of the job include:

Bachelor's or master's degree in computer science, Statistics, Mathematics, Machine Learning, or a related field.
Min 23 years of work experience in Python programming language and relevant data science libraries (e.g., pandas, NumPy, scikitlearn, TensorFlow).
Experience with AWS services for data analytics, including S3, Glue, Lambda, Sage Maker, and docker.
Experience building endtoend machine learning model pipelines, including data preprocessing, feature engineering, model training, and deployment.
Strong communication and interpersonal skills, with the ability to effectively convey technical concepts to diverse audiences.

It would be a plus if you also possess previous experience in:

Biotechnology/Life Sciences industry
GMP & regulatory environments
QMS and Documentation Practices

At Cytiva we believe in designing a better, more sustainable workforce.

We recognize the benefits of flexible, hybrid working arrangements for eligible roles and are committed to providing enriching careers, no matter the work arrangement.

This position is eligible for a hybrid work arrangement in which you can work part-time at the Company location identified above and part-time remotely from your home.

Additional information about this hybrid work arrangement will be provided by your interview team. Explore the flexibility and challenge that working for Cytiva can provide.