Data Solutions Manager/Lead

2 weeks ago

Hyderabad, Telangana, India Bayer Full time

At Bayer we're visionaries, driven to solve the world's toughest challenges and striving for a world where ,Health for all, Hunger for none' is no longer a dream, but a real possibility. We're doing it with energy, curiosity and sheer dedication, always learning from unique perspectives of those around us, expanding our thinking, growing our capabilities and redefining 'impossible'. There are so many reasons to join us. If you're hungry to build a varied and meaningful career in a community of brilliant and diverse minds to make a real difference, there's only one choice.

Data Solutions Manager/Lead - Data Solutions

POSITION PURPOSE:

We are seeking a highly skilled and experienced Lead Data Solutions with expertise in Azure and/or AWS, combined with data science experience in NLP (Natural Language Processing) and LLM (Large Language Model), to join our team.

Successful candidate will play a critical role in developing cloud-based solutions on Azure and/or AWS platforms, with a focus on integrating NLP and LLM technologies to analyze and derive insights from clinical data in clinical/ research settings.

YOUR TASKS AND RESPONSIBILITIES:

Design, develop and maintain systems/ catalogues for research and clinical processes. Develop and deploy cloud-based tools/ solutions on Azure and/or AWS platforms, leveraging infrastructure-as-code tools and services. Design and implement NLP and LLM models and algorithms tailored to clinical data science applications, such as electronic records analysis, medical literature mining, and clinical decision support. Collaborate with clinical team/ data professionals and data scientists to identify clinical data science requirements and integrate NLP and LLM technologies into data analysis workflows. Optimize and scale cloud-based solutions to meet performance, reliability, and security requirements in clinical environments. Provide technical expertise and guidance on cloud computing, data science, NLP, and LLM to the broader teams, fostering innovation and continuous improvement in clinical data analysis. Work in teams with business stakeholders, programmers in solving operational & technical problems in programming, best practices, and standards implementation. Collaborate and consult with Agile team to understand enabler work, prioritize tasks, and ensure stories are delivered.

WHO YOU ARE:

Bachelor's degree in computer science, biomedical engineering, bioinformatics, or a related field between 6 to 12 years of experience as a programmer. (Experience in the pharmaceutical, biotech or similar industry will be an advantage). Familiarity with Clinical Data Transformation and experience working with pharmaceutical R&D Industry Strong programming skills with proficiency in languages such as Python, R, or Scala or MATLAB, and experience with cloud-native development frameworks and tools. Hands-on experience with NLP, LLM, and deep learning libraries and frameworks such as TensorFlow, PyTorch/ PySpark, NLTK, spaCy, Transformers, and BERT. Proficiency in cloud computing platforms such as Azure and/or AWS, including experience with deploying and managing data science solutions. (Candidates with Databricks, EC2, S3, Lambda, Azure Functions, Azure VMs, Azure App Services exposure will be preferred). Preferably data science experience in clinical/ research settings, with a focus on NLP, LLM, deep learning, and advanced AI techniques applied to clinical data analysis. Familiarity with PL/SQL, Java, C++ code exposure is a plus (for legacy applications support/ for converting legacy applications to cloud based solutions). Familiarity with data integration and analysis of omics data (e.g., genomics, transcriptomics, proteomics) is a plus. Familiarity in using algorithms such as Random Forest, SVM, CNNs, and K-clustering is a plus. Excellent problem-solving and analytical skills, with the ability to translate clinical data science requirements into practical solutions. Strong interpersonal skills, excellent written and oral communication in English. Ability to work independently and manage multiple tasks in a fast-paced environment. Demonstrates VACC (Visionary, Catalyst, Architect, Coach) leadership behaviors: Good self-awareness as well as system awareness. Pro-actively asks for and gives feedback. Strives to demonstrate strategic thinking as well as good business and external trends insights. Focuses on outcomes defines and deliver highest pipeline, team, talent, and organizational impact outcomes. Collaborates and holds each other accountable in and across teams. Is close to the customer and co-creates solutions for their needs. Works in 90-days cycles, applies learnings fast and continually develops. Is the best self and includes others: respects differences, embraces inclusion and shows up as the best self.

Bayer does not charge any fees whatsoever for recruitment process. Please do not entertain such demand for payment by any individuals / entities in connection with recruitment with any Bayer Group entity(ies) worldwide under any pretext.
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