Qureos Mentor

ProcDNA

<div>About ProcDNA
ProcDNA is a fast-growing healthcare analytics and consulting firm focused on the life sciences industry. With 385+ employees today and projected growth to over 1,000 employees in the next five years, we are building a world-class organization driven by talent, innovation, and purpose.
We are looking for someone with a deep passion for learning, leadership, and building new things from the ground up. This role is ideal for someone who finds energy in creating, experimenting, and shaping a learning culture in a fast-paced, entrepreneurial environment. You&acirc;&euro;&trade;ll have the freedom to build on our existing training programs, reshape them to meet evolving organizational needs, and hire your own Learning &amp; Development team to scale impact across the company.
At ProcDNA, we value leaders who don&acirc;&euro;&trade;t just manage &acirc;&euro;&rdquo; but who create, inspire, and build . We want someone who brings both structure and imagination to the way people grow, and who genuinely enjoys the process of turning ideas into lasting systems.
Role Overview
The Head of Learning &amp; Development (L&amp;D) will be responsible for building and leading ProcDNA&acirc;&euro;&trade;s capability development function from the ground up. This leader will design a structured, multi-year learning roadmap, manage content and delivery, and build a high-performing internal training team.
This is a full-time leadership role based in India (Delhi or Pune) with frequent travel to the U.S. The leader will be empowered to hire and manage a team of 10+ learning professionals over time, creating a scalable L&amp;D function that supports ProcDNA&acirc;&euro;&trade;s growth trajectory.
Key Responsibilities
1. Program Design
<ul><li>Partner with ProcDNA&acirc;&euro;&trade;s leadership team to define clear learning pathways and competency frameworks across levels &acirc;&euro;&rdquo; Analyst, Senior Analyst, Team Lead, Senior Team Lead, Engagement Lead, Senior Engagement Lead, etc.
</li><li>Build a structured, multi-year training roadmap covering the first six years of an employee&acirc;&euro;&trade;s career at ProcDNA , ensuring a progressive blend of technical, analytical, business, and leadership skill development.
</li></ul>2. Training Calendar &amp; Delivery Rhythm
<ul><li>Develop and manage a comprehensive annual training calendar, detailing content, trainers, cadence, and delivery mechanisms.
</li><li>Identify internal and external trainers to conduct sessions across domains such as data science, technology, communication, consulting skills, and leadership.
</li></ul>3. Trainer Recruitment &amp; Development
<ul><li>Build a network of qualified trainers, ensuring timely content readiness and alignment with ProcDNA&acirc;&euro;&trade;s quality standards.
</li><li>Trainers will likely include experienced leaders within ProcDNA who bring deep expertise in pharmaceutical analytics, consulting, and technology domains &acirc;&euro;&rdquo; while also leveraging external trainers where specialized knowledge adds value.
</li><li>Support and coach trainers to deliver engaging, relevant, and outcome-driven programs.
</li></ul>4. Execution &amp; Governance
<ul><li>Oversee the end-to-end execution of the L&amp;D program, ensuring alignment with organizational goals.
</li><li>Establish measurement frameworks for learning effectiveness and business impact.
</li><li>Continuously refine and improve the training architecture based on feedback and evolving company needs.
</li></ul>5. Team Leadership
<ul><li>Build and lead an internal L&amp;D team of 10+ professionals responsible for program coordination, content design, delivery, and analytics.
</li><li>Foster a culture of continuous learning, ownership, and innovation within the organization.
</li></ul>Qualifications
<ul><li>Demonstrated experience leading training programs within a leading consulting or professional services firm.
</li><li>Strong understanding of learning design, capability building, and training program management.
</li><li>A genuine passion for developing people &acirc;&euro;&rdquo; someone who finds purpose in helping others grow and succeed.
</li><li>A startup mindset &acirc;&euro;&rdquo; creative, self-driven, and energized by the opportunity to build something new.
</li><li>Collaborative leader with excellent communication and stakeholder management skills.
</li><li>Willingness to travel frequently to the U.S. for alignment and leadership discussions.
</li></ul>What We Offer
<ul><li>The opportunity to build something new and meaningful &acirc;&euro;&rdquo; design and scale ProcDNA&acirc;&euro;&trade;s learning function from the ground up.
</li><li>A high-impact leadership role with full autonomy to architect programs and build your own team.
</li><li>A culture that celebrates innovation, experimentation, and the joy of creating .
</li><li>Competitive compensation, benefits, and direct visibility with global leadership.</li></ul></div>

Head of Learning & Development

<div><div>About ProcDNA
 
ProcDNA is a global consulting firm. We fuse design thinking with cutting-edge tech to create game-changing Commercial Analytics and Technology solutions for our clients. We're a passionate team of 300+ across 6 offices, all growing and learning together since our launch during the pandemic. Here, you won't be stuck in a cubicle - you'll be out in the open water, shaping the future with brilliant minds. At ProcDNA, innovation isn't just encouraged, it's ingrained in our DNA. Ready to join our epic growth journey?
What we are looking for:
 
You&acirc;&euro;&trade;ll drive the adoption of the latest analytics in our solutions, bringing thought leadership to guide clients on complex data management problems and enhance business performance. You will work with the leadership team to bring subject matter expertise in areas such as commercial analytics. We are seeking an individual who not only possesses the requisite knowledge but also thrives in the dynamic landscape of a fast-paced global firm.
What you&acirc;&euro;&trade;ll do
<ul><li>Lead Project Delivery: Ensure the successful delivery of client projects while identifying and building new business opportunities.
</li><li>POC and Analytics Development: Design and implement Proofs of Concept (POCs) and solutions to address business problems, diverse data management and governance needs for pharmaceutical clients, from pre-commercial to large enterprises
</li><li>Team Development: Recruit and cultivate a high-performing team to deliver scale-quality work.
</li><li>Business Development Collaboration: Partner with the leadership team to identify and nurture strategic business development opportunities
</li><li>Thought Leadership: Write and publish insightful articles to establish thought leadership in the industry.
</li><li>Conference Engagement: Identify and secure opportunities to present at analytics conferences. Work with clients to structure and model the data to solve complex business problems, and build a strategic decision making process with partners and the Principal.
</li></ul>Must have:
<ul><li>10-14 years of strong analytics experience.
</li><li>Strong written and verbal communication skills
</li><li>Individuals with experience in statistical analysis, predictive modeling, Go-to-market strategy, SFE, structure, segmentation, Sizing, Alignment, Marketing Mix Model, Targeting, and analyzing large datasets to derive insights and make data-driven decisions.
</li><li>Ability to manage multiple concurrent projects for various stakeholders with a quality-focused approach
</li><li>Experience in developing new work streams, leading client engagements, and business development in the analytics space.
</li><li>Proven capability to identify and recommend appropriate solutions to client needs creatively and analytically, with minimal direction.
</li><li>Experience in data development and enterprise-wide data solutions.</li></ul></div></div>

Director of Analytics

<div>
 
 About ProcDNA
 
 
 
 ProcDNA is a global consulting firm. Wefuse design thinking with cutting-edge technology to create game-changing Commercial Analytics and Technology solutions for our clients. We're a passionate team of 275+ across 6 offices, all growing and learning together since our launch during the pandemic. Here, you won't be stuck in a cubicle you'll be out in the open water, shaping the future with brilliant minds. At ProcDNA, innovation isn't just encouraged;it's ingrained in our DNA. Ready to join our epic growth journey.
 
 
 
 What are we looking for?
 
 
 
 As a Data Scientist- I, you will play a key role in delivering end-to-end data science solutions across pharmaceutical and healthcare engagements. The role demands a blend of technical depth, business acumen, and scientific curiosity. You will translate complex business problems into analytical frameworks, develop scalable machine learning and statistical solutions, and generate actionable insights that drive commercial, clinical, and operational impact for clients and patients worldwide. Beyond technical execution, you are expected to think strategically, framing business challenges, designing analytical approaches, and guiding clients toward the most effective data-driven decisions.
 
 
 
 What You&rsquo;ll Do
 
 
 
 <ul>
 <li>
 Own day-to-day execution of data science projects from problem definition to deployment, ensuring methodological rigor, business relevance, and timely delivery
 </li>
 <li>
 Build, tune, and validate advanced machine learning and statistical models, including supervised techniques (classification, regression, uplift), unsupervised methods (clustering, PCA, GMM), transformer models, and analytical frameworks (hypothesis testing, causal inference, survival analysis) using industry-standard libraries
 </li>
 <li>
 Develop clean, modular, and production-ready code with reusable components, adhering to best practices in version control, documentation, and scalable pipeline design for deployment in production or client-facing environments
 </li>
 <li>
 Synthesize insights from diverse data sources, including claims, prescription (LAAD), lab, EMR, and unstructured text, into clear narratives driving client decisions tailored to patient, HCP, and market contexts
 </li>
 <li>
 Collaborate with consultants, domain experts, and engineers to structure analytical workflows that answer complex commercial or clinical questions.
 </li>
 <li>
 Present findings and insights to internal and client stakeholders in a clear, structured, and actionable manner.
 </li>
 <li>
 Actively participate in client discussions, supporting solution development and storyboarding for business audiences
 </li>
 <li>
 Contribute to internal capability building through reusable ML assets, accelerators, and documentation to strengthen the team&rsquo;s solution portfolio.
 
 
 </li>
 </ul>
 
 Must have
 
 
 
 <ul>
 <li>
 Strong hands-on experience in Python, PySpark, and SQL for manipulating and handling large structured and unstructured datasets.
 </li>
 <li>
 Strong foundation in machine learning algorithms, feature engineering, model tuning, and evaluation techniques
 </li>
 <li>
 Proficiency in data visualization (Power BI, Tableau, MS Office suite or equivalent) and in translating analytical results effectively.
 </li>
 <li>
 Ability to structure ambiguous business problems, design analytical roadmaps, and communicate insights effectively to both technical and non-technical stakeholders.
 </li>
 <li>
 Strong collaboration and project-management skills for coordinating across multi-disciplinary teams.
 
 
 </li>
 </ul>
 
 Preferred Skills
 
 
 
 <ul>
 <li>
 Prior experience in the pharmaceutical or life sciences industry, with familiarity across structured data sources such as LAAD, Lab, Sales, and unstructured datasets (e.g., market research, physician notes, publications).
 </li>
 <li>
 Experience with R, Rshiny, and data platforms such as Databricks, AWS, Azure, or Snowflake is an advantage.
 </li>
 <li>
 Exposure to MLOps frameworks, including MLflow, Docker, Airflow, or CI/CD pipelines, to automate model training, deployment, and monitoring in scalable production environments.
 </li>
 <li>
 Experience mentoring junior analysts or collaborating in cross-functional data science teams.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Statistics, Mathematics, Data Science, or related fields.
 </li>
 <li>
 3&ndash;4 years of professional experience in data science, analytics, or advanced modeling roles
 </li>
 <li>
 Proven ability to balance analytical rigor with business understanding, delivering models that are explainable, actionable, and production-ready
 
 
 </li>
 </ul>
 Skills: docker,machine learning,python,models,ml flow,framework,design,ml,data science
</div>

Data Scientist - I

Join ProcDNA and explore 3   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

ProcDNA

ABOUT_COMPANY

Head of Learning & Development

Director of Analytics

Data Scientist - I