Científico de Datos Senior - Farmacéutico (Remoto)

Placements24; United States; Remote; USD 140,000 - 210,000; Full time

Benefits offered by this job

Health insurance

401(k) plan with company match

Remote work and flexible schedule

Professional development and learning

Job summary

Placements24 is seeking a Senior Data Scientist for a fully remote role in a pioneering pharmaceutical company. You will apply advanced machine learning, statistical modeling, and data analysis to drug discovery and clinical trial datasets from home.

You will collaborate with R&D, clinicians, and bioinformaticians to deliver actionable insights, mentor junior data scientists, and help shape data science strategies across departments.

Qualifications

• Master's or PhD in quantitative field (CS, statistics, bioinformatics, math) or equivalent.
• 5+ years of professional Data Scientist experience in pharma/biotech.
• Proven programming skills in Python and/or R.
• Strong ML libraries experience (scikit-learn, TensorFlow, PyTorch).
• Proficiency in SQL and working with large relational databases.
• Solid understanding of statistics and experimental design.
• Excellent problem-solving and communication skills.

Responsibilities

• Design, develop, and implement statistical models and ML algorithms for large pharmaceutical datasets.
• Identify patterns to support drug discovery, target ID, and efficacy prediction.
• Develop predictive models for clinical trial outcomes and patient stratification.
• Collaborate with scientists, clinicians, and bioinformaticians to deliver impactful insights.
• Build data pipelines and analytical frameworks to ensure data quality and accessibility.
• Communicate findings clearly through reports, visualizations, and presentations.
• Stay current with advances in data science and pharma applications.
• Mentor junior data scientists and contribute to the data science practice.

Skills

Python

R

Machine Learning

Statistical Modeling

Big Data

Education

Master's or PhD in quantitative field

Tools

Scikit-learn

TensorFlow

PyTorch

SQL

Job description

About the Role

Our client, a pioneering pharmaceutical company dedicated to advancing healthcare through innovative research and development, is seeking a highly skilled Senior Data Scientist to join their globally distributed team. This is a fully remote position. The ideal candidate will leverage their expertise in data analysis, machine learning, and statistical modeling to extract actionable insights from complex datasets related to drug discovery, clinical trials, and patient outcomes. You will play a critical role in driving data-informed decision-making across various departments, from R&D to market strategy. We are looking for a proactive individual with a passion for solving challenging problems, a strong scientific mindset, and the ability to communicate complex findings effectively to both technical and non-technical audiences. This role offers the exciting opportunity to make a significant impact on the development of life-saving medicines from the comfort of your home office.

Key Responsibilities

• Design, develop, and implement advanced statistical models and machine learning algorithms to analyze large-scale pharmaceutical datasets (e.g., genomic, proteomic, clinical, real-world data).
• Identify patterns, trends, and correlations within data to support drug discovery, target identification, and efficacy prediction.
• Develop predictive models for clinical trial success, patient stratification, and treatment response.
• Collaborate closely with research scientists, clinicians, and bioinformaticians to understand data needs and deliver impactful insights.
• Build and maintain data pipelines and analytical frameworks to ensure data quality and accessibility.
• Communicate complex analytical findings and recommendations clearly and concisely through reports, visualizations, and presentations.
• Stay abreast of the latest advancements in data science, machine learning, and their applications in the pharmaceutical industry.
• Mentor junior data scientists and contribute to the overall growth of the data science practice within the organization.

Requirements

• Master's or Ph.D. in a quantitative field such as Computer Science, Statistics, Bioinformatics, Mathematics, or a related discipline.
• 5+ years of professional experience as a Data Scientist, with a significant portion focused on the pharmaceutical or biotechnology industry.
• Proven expertise in programming languages commonly used in data science (e.g., Python, R).
• Strong experience with machine learning libraries and frameworks (e.g., Scikit-learn, TensorFlow, PyTorch).
• Proficiency in SQL and experience working with large relational databases.
• Solid understanding of statistical principles and experimental design.
• Excellent problem-solving skills and the ability to think critically and creatively.
• Strong communication and presentation skills, with the ability to explain complex technical concepts to diverse audiences.
• Experience with cloud platforms (AWS, Azure, GCP) is a plus.

Benefits

• We offer a competitive salary, comprehensive health, dental, and vision insurance, generous paid time off, a 401(k) plan with company match, and opportunities for professional development and continuous learning.
• As a fully remote position, you benefit from the flexibility and work-life balance it provides.
• You'll be part of a dynamic, innovative, and collaborative team working on cutting-edge research that has the potential to change lives.
• Our client is committed to fostering an inclusive environment where diverse perspectives are valued and celebrated.
• Performance-based bonuses and stock options may also be available.