ML Engineer

🕒 2 days ago

🇭🇷 Croatia – Remote

💵 €5k / month

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 Machine Learning Engineer

👻 Ghost score 0%

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PharmaForceIQ

WebsiteLinkedInAll Job Openings

51 - 200 employees

🏥 Healthcare

☁️ SaaS

📣 Marketing

Healthcare • SaaS • Marketing

PharmaForceIQ is a healthcare-focused software platform that helps pharmaceutical and biotech commercial teams engage health care professionals (HCPs) using real-time, signal-driven "optichannel" orchestration. Their platform ingests behavioral and clinical signals (e. g. , lab results, publication downloads, searches), recommends next-best actions, and deploys coordinated digital and field outreach across many touchpoints within 24–48 hours. PharmaForceIQ emphasizes NPI-level script attribution and live dashboards that tie each touchpoint to prescription (Rx) lift, enabling fast, measurable ROI, reduced wasted media spend, and closer alignment between field and marketing. The company serves HCP and DTC marketers, medical affairs, sales, and data/IT leaders at pharmaceutical companies and positions itself as a rapid, AI-enabled alternative to traditional omnichannel systems.

📋 Description

• Create and utilize generative AI or ML models that could have a positive impact on the business • Drive data modelling activities from conceptualization and visualization through operationalization • Perform statistical analysis on historical data to validate models • Work across stakeholders to identify and capitalize on opportunities to leverage data for business solutions • Develop scripts to process structured and unstructured data • Recommend, develop and implement ways to improve data reliability, efficiency and quality • Support translation of data business needs into technical system requirements • Work with stakeholders to understand needs regarding data structure, availability, scalability and accessibility

🎯 Requirements

• Advanced degree in Mathematics, Statistics, Computer Science or related field • At least 3 years of experience, ideally within a Data Engineer or Data Scientist role • Demonstrated experience working with large and complex data sets • Experience analyzing volumes of data • Working knowledge of Python programming, Artificial Intelligence, GEN AI, Pyspark, Databricks and Cloud Computing • Strong analytical skills and comfort dealing with numerical data • Strong attention to detail • Ability to deliver work to a high standard • Ability to find creative solutions to problems

🏖️ Benefits

• Work alongside & learn from best in class talent • Excellent career development opportunities • Great work environment