Senior Data Scientist at ClinChoice

ClinChoice is a global full-service CRO dedicated to professional development and providing an excellent work-life balance, with a quality-focused, collaborative “one-team” culture. We are looking for a dynamic person to join our team as a Senior Data Scientist with at least a decade of specialized experience in applying Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), and Production Automation/Optimization techniques within the Contract Research Organization (CRO) industry. Over the years, this individual has melded domain-specific expertise in clinical research with advanced analytical capabilities to drive innovation and enhance the efficacy of clinical trials.

The Senior Data Scientist with extensive AI/ML/NLP and Automation experience will support ClinChoice innovative projects.

Join our team: you can be part of making a difference in peoples’ lives and experience a fulfilling and rewarding career!

Main Job Tasks and Responsibilities: 

• Data Exploration: Conduct exploratory data analysis to identify patterns, anomalies, or
  significant structures in clinical data.
• Feature Engineering: Transform and engineer data features to enhance the performance
  of AI/ML/NLP models, using domain knowledge of clinical trials in drug and medical devices
  development.
• Model Training & Validation: Continuously train, validate, and fine-tune models to ensure
  robustness and relevance. Implement cross-validation, hyperparameter tuning, and other
  optimization techniques.
• Collaborative Projects: Lead cross-functional projects, collaborating with clinicians,
  pharmacologists, regulatory specialists, and IT teams to ensure cohesive execution.
• Model Interpretability: Work on making complex models interpretable and
  understandable to non-experts, especially when results have significant clinical
  implications.
• Regular Updates: Conduct periodic presentations and training sessions for stakeholders,
  sharing insights, and educating on the significance and implications of findings.

 Key Qualifications:

• Advanced Expertise: Mastery over a wide range of AI/ML/NLP methodologies,
  ensuring optimal model selection and implementation based on specific project
  requirements.
• Domain Knowledge: Deep understanding of the clinical trials landscape, including
  regulatory compliance, data management practices, trial phases, and the unique
  challenges posed by the industry.
• Project Management: Demonstrated ability to lead complex data-centric projects from
  conception to completion, liaising with cross-functional teams, stakeholders, and external
  partners, mastered clear documentation methodologies with guarantee to apply your work
  experience in a simple and readable format to satisfy regulatory requirements.
• Technical Proficiency: Expertise in popular AI/ML/NLP frameworks and tools like
  TensorFlow, PyTorch, Scikit-learn, and NLTK. Comfortable working with big data
  technologies and Windows Azure cloud platform.
• Research & Development: History of pioneering research initiatives that enhance trial
  outcomes, patient recruitment strategies, drug efficacy and medical devices predictions
  using AI/ML/NLP techniques.

Core Competencies:

• Data Wrangling: Proficiency in handling, cleaning, and preprocessing diverse datasets,
  especially those common in clinical trials, to make them suitable for AI/ML/NLP
  applications.
• Model Development: Designing, building, testing, and deploying predictive or analytical
  models tailored to address specific challenges in clinical trials, such as patient recruitment,
  adverse event prediction, or data analysis from patient narratives.
• NLP Expertise: Extracting insights from unstructured text data like patient medical
  records, clinical notes, or literature, using advanced AI/ML/NLP and Automation
  techniques.
• Collaboration: Working closely with biostatisticians, clinical researchers, and regulatory teams
  to ensure alignment of AI/ML/NLP and Automation Optimization projects with clinical
  objectives and compliance standards.
• Communication: Exceptional ability to translate technical findings and insights into
  actionable recommendations for non-technical stakeholders.
• Continuous Learning: Given the rapid advancements in the AI/ML/NLP field, this individual
  has consistently stayed abreast of new methodologies, tools, and techniques ensuring the
  ClinChoice remains at the forefront.

Skills:

• Diverse Algorithmic Knowledge: Expertise across a wide spectrum of machine learning
  techniques including supervised and unsupervised learning, deep learning, reinforcement
  learning, and ensemble methods.
• Statistical Proficiency: Deep understanding of statistical testing, high-dimensional data
  analysis, multivariate analysis, and optimization techniques.
• Advanced AI/ML/NLP and Optimization Techniques: Mastery over sentiment analysis,
  entity recognition, machine translation, topic modeling, and text summarization.
  Familiarity with state-of- the-art models like OpenAI, BERT, and their derivatives.
• Computational Skills: Proficient in high-performance computing, parallel processing, and
  GPU optimization for handling large datasets and training complex models.
• Regulatory & Ethical Acumen: Comprehensive understanding of data privacy laws considerations in clinical trials, and guidelines specific to patient data.

Criteria of previous success:

• Pioneered the integration of AI/ML/NLP techniques that automated the extraction and
  categorization of adverse events from patient narratives, enhancing report accuracy and
  speeding up regulatory submissions.
• Developed predictive algorithms that identified potential trial risks, resulting in initiative taking
  issue resolution and ensuring trial continuity.
• Collaborated on the multi-center projects, integrating data from various global sites, and
  employed ML algorithms to harmonize and analyze the combined dataset, uncovering
  insights that individual sites missed.
• Attended and presented in leading AI/ML/NLP and clinical research conferences,
  workshops, and seminars, ensuring the transfer of the latest knowledge back to the
  organization.
• Mentored junior data scientists and interns, fostering a culture of knowledge sharing, innovation, and ethical research within the organization.
• Led internal hackathons and ideation sessions to promote the use of AI/ML/NLP in solving
  emergent clinical trial challenges.

Our Benefits: 

• Flexible Working Hours
• Full performance and development process with end of year reviews
• Employee satisfaction survey - your feedback is important for continuous improvement
• Health Insurance

The Application Process

Once you have submitted your CV, you will receive an acknowledgement that we received it. If you have the requirements we need, you will be invited for phone interview as the first step. Unfortunately, due to the number of applications we receive, we cannot reply to everyone individually if you are not successful. 

Who will you be working for?

About ClinChoice  
ClinChoice is a global full-service CRO specializing in clinical development and functional solutions for pharmaceutical, biotechnology, medical device, and consumer health companies. We have over 28 years of proven high-quality delivery and results across all our services with over 4,000 professionals in more than 20 countries across the Americas, Europe, and Asia-Pacific. We are on a mission to contribute to a healthier and safer world by accelerating the development and commercialization of innovative drugs and devices. Join our passionate team and make a meaningful impact on global healthcare!

Our Company Ethos
Our mission drives our culture: to contribute to a healthier and safer world by accelerating the development and commercialization of innovative drugs and devices. Our employees are the most valuable company asset and they are the fulcrum around which all ClinChoice activities are built and close management and training is the core instrument to develop and maintain highly-qualified personnel. The continuous training keeps the resources qualified in terms of competence and expertise and gives to all personnel the clear tools needed to manage both internal and client processes with the same methodology.  The success of these core values is evidenced by our below industry average turnover rates. ClinChoice is an equal opportunity employer. We have based our success on attracting, developing, and promoting talent guided by diversity and inclusivity. Our employees come from very diverse backgrounds: gender, race, beliefs, and ethnicities. We recognize this is our strength and celebrate it.