Junior Data Scientist - Life Sciences
Roma, Lazio, Italy
BIP
We are the XXI century consulting company. A mix of expertise and in-depth industry know-how. We integrate digital and technological enablers into the issues of Business in an ethical and sustainable way.About Us:
The xTech Competence Centre at Bip is Italy's largest Data Science group (source: LinkedIn statistics) and also leads its foreign Data Science teams. We are hiring junior/intermediate (fresh graduates or up to 2 years of experience) Data Scientists to join this dynamic group that works on all sectors and brings Artificial Intelligence to the top enterprises in Italy. Experience from management consulting or IT firms is a big plus.
Role Overview:
We are seeking a passionate and skilled Data Scientist with a specialization in Life Sciences, particularly in Pharma and Hospitals, to join our dynamic team. This role involves developing machine learning models, collaborating with cross-functional teams, and performing data analysis and visualization on large-scale datasets to support our life sciences clients’ objectives.
Key Responsibilities:
- Develop and implement statistical, analytical and machine learning models to address challenges in clinical trials, drug testing, and clinical operations.
- Collaborate with cross-functional teams, including data engineers and business analysts, to understand client needs and deliver data-driven solutions.
- Perform data analysis and visualization to extract insights from clinical operations, real-world evidence, and biostatistics data.
- Contribute to the preparation of datasets for analysis, including data cleaning, transformation, and feature engineering.
- Communicate findings and model results effectively to both technical and non-technical stakeholders.
Preferred Qualifications:
- Advanced degree (Ph.D. or Master’s) in Data Science, Computer Science, Bioinformatics, Computational Biology, Statistics.
- Up to 2 years of experience in data science (or up to 1 years for Ph.D.), applying data science techniques to life sciences applications such as drug testing, clinical research, clinical operations, or healthcare analytics.
- Strong analytical skills with a solid foundation in machine learning, data mining, statistical methods, experimental design, and hypothesis testing in the context of life sciences.
- Proficiency in programming and scripting with Python, R, or similar languages.
- Experience with data visualization tools and techniques relevant to life sciences.
- Familiarity with big data technologies (e.g., Hadoop, Spark) and database systems (SQL and NoSQL).
- Fluent in English, with excellent communication and interpersonal skills.
Plus:
Knowledge and use of Artificial Intelligence Cloud APIs from the main cloud providers (Google, Microsoft, AWS, IBM) and other Advanced Analytics tools from specialized vendors.
Soft Skills:
- Strong consulting mindset with excellent relationship-building and communication abilities.
- Excellent problem-solving skills, attention to detail, and ability to thrive in a fast-paced, collaborative environment, demonstrating precision and stress tolerance under tight deadlines.
- Goal-oriented with a keen focus on delivering client-centric solutions.
- Willingness to travel domestically and internationally as required.
Perchè Bip?
People at the center of our culture
Fiducia e collaborazione, imprenditorialità e coraggio, meritocrazia e sviluppo guidano la crescita delle nostre persone.
Lavorare in BIP è un'esperienza sfidante, in cui il merito paga e l'innovazione avviene attraverso idee coraggiose, collaborazione e un rapporto di fiducia con i nostri clienti.
Challenge yourself
Avrai la possibilità di metterti alla prova in contesti progettuali diversi in termini di ambito, natura delle attività e stakeholders coinvolti. Vedrai valorizzato il tuo spirito di iniziativa, la tua passione, l’autonomia e la capacità di assumerti responsabilità e metterti in gioco.
Unlocking your potential
Potrai partecipare a + di 300 corsi formativi all’avanguardia per accrescere le tue competenze su tecnologie e temi di business emergenti.
Work-life Integration
Troverai una policy che supporta lo smartworking fino al 100% del proprio tempo e favorisce il work-life integration.
Diversity, Equity & Inclusion
Valorizziamo l’unicità e ci impegniamo a garantire che tutte le nostre persone abbiano pari opportunità di dare un contributo ed esprimere al massimo il potenziale nell'ambiente di lavoro
Il nostro approccio alla diversità e all’inclusione si fonda sui principi di etica e integrità e rappresenta il fattore determinante per lo sviluppo di orizzonti, di crescita personale e aziendale, più ampi.
Promuoviamo l’inserimento e l’integrazione lavorativa delle persone appartenenti alle categorie protette – in base a quanto disciplinato dalla legge 68/99 –.
Next Steps
Una volta ricevuto il tuo cv ci prenderemo del tempo per valutarlo attentamente.
Se c’è un match con questa o con altre posizioni aperte all’interno del Gruppo, ti contatteremo per iniziare la nostra conoscenza reciproca.
Su di Noi
Nati nel 2003, abbiamo raccolto e valorizzato l’esperienza storica della consulenza e abbiamo aggiunto due ingredienti chiave: l’innovazione e la digitalizzazione.
Grazie a questo percorso siamo oggi oltre 5000 professionisti, presenti in 13 Paesi, con oltre 4500 progetti alle spalle e le conoscenze più all’avanguardia nell'ambito della Digital Transformation, Data Science, Cybersecurity, Industry 4.0, IoT e di tutte le Disruptive Technologies che mettiamo a servizio di ogni settore di mercato.
Aiutiamo i nostri clienti a fare la differenza creando qualità su larga scala attraverso una formula che opera su tre leve: Valore, Persone e Tecnologia.
Crediamo nel valore dell’eccellenza, che è la bussola su cui orientiamo il nostro agire, e adottiamo un approccio etico e leale nei confronti di quante e quanti scelgono dilavorare con noi, promuovendo un ambiente in cui le persone possano crescere insieme, grazie alla contaminazione tra competenze diverse.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: APIs AWS Big Data Bioinformatics Biology Biostatistics Computer Science Consulting Data analysis Data Mining Data visualization Engineering Feature engineering Hadoop Machine Learning ML models NoSQL Pharma Python R Research Scala Spark SQL Statistics Testing
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