Data Scientist

  • Jornada Completa
  • LinkedIn
  • Barcelona

Aizon

The Company

Aizon is the outcome of years of expertise and the commitment to guide and lead biotech and pharma manufacturing into the future leveraging our AI/ML technology. With headquarters based in San Francisco and development in Barcelona, we are working with the latest technologies and top worldwide companies as partners (like Amazon). We’ve developed a Serverless SaaS platform, based on IoT, big data, artificial intelligence, and pharma 4.0 technologies, offering an intuitive way to gain meaningful operational intelligence by enabling real-time visibility, faster root cause analysis, and predictive insights for AI-augmented decision making in a GxP compliant manner with end-to-end data integrity. Aizon’s technology platform can enable pharma/biotech customers to accelerate their manufacturing process while improving quality and compliance.

The Position

We are looking for a Data Scientist for our Barcelona office with a solid mathematical background and demonstrated experience in training machine learning models. As a Data Scientist in Bigfinite, you will analyse our customer’s data in order to model the behaviour of a wide variety of pharmaceutical manufacturing processes. You will help us to build smart and reusable solutions for our customers and the product. Your work will be of great business influence, linearly linked to the Bigfinite platform.

Qualifications

Excellent educational background (minimum MSc) in Computer Science, Mathematics, Statistics, or another similar quantitative field

At least 3 years in a similar position

Proficient in spoken and written English

Experience in training machine learning models

Solid experience with Python.

A decent understanding of programming principles and techniques

Comfortable with Machine Learning related libraries such as pandas, scikit-learn, TensorFlow, Keras, and big data frameworks such as Spark

Experience working with both relational and NoSQL databases

Responsibilities

  • Lead statistical analyses to solve business problems and help bring to production by working in close collaboration with the Engineering team
  • Assist in the training of machine learning models for the Manufacturing Industry including probabilistic graphical models, linear models, text classification, computer vision and time-series models
  • Identify bottlenecks in the ETL pipelines and recommend robust software solutions at scale

-Contribute to a SaaS life cycle through initial prototyping to enterprise-quality testing and final implementations by using Agile methodologies-

  • Help on the interpretation and validation of ML models in order to meet the rigorous standards of quality set for the Pharmaceutical Industry
  • Teach complex concepts to a mixed audience in training sessions for customers and third-parties of the product
  • Analyze our customer’s data in order to model the behavior of a wide variety of pharma manufacturing processes
  • Help us to build smart and reusable AI-based solutions for our customers and the product

Desired Skills

Familiar with AWS services and/or other cloud computing platforms is a plus

Capable of working with a dynamic product that is ever-changing and evolving rapidly

Strong analytical and creative problem-solving skills

Ability to take smart risks and champion new ideas

Team player, collaborative, innovative, get things done mind

Ability to understand business requirements and translate them into technical requirements

Show initiative in setting and meeting goals within an environment of managed change

Ability to work under pressure, responsible for multiple important tasks in parallel

Commitment to quality

Availability to travel

What we offer

Immediate start

Competitive salary in the sector, according to your experience and skills

Full time and permanent contract

Flexible schedule

Private medical and dental insurance

English / Spanish classes

Flexible Remuneration

Stock Options plan

Internal training and certifications plan

Career plan and scheduled salary reviews

Team Building Activities

An excellent work environment with a young, dynamic collaborative team

The possibility to join a young American company with great expectations and huge potential to grow

Key Words

  • Cloud & Edge
  • Mentoring Philosophy
  • Pharma Innovation/ Biotech
  • Newest Regulatory AI
  • Disruptive/ Changing Paradigms

Our mission is to advance manufacturing operations performance so pharma and biotech companies can provide patients with the right medicine, at the right time, and at the right price with faster time to market. We are committed to providing an inclusive environment where all employees feel mutual respect and are contributing to the good of society. The innovative nature of our team allows you to have close contact with our founders and be a part of a close-knit team without the corporate nonsense. We are a group of creators with diverse backgrounds (there are over 10 different languages spoken in our office) and are proud to be an equal opportunity workplace. All employment is decided on the basis of qualifications, merit, and business needs. We are embarking on an important journey, working to contribute to something impactful and new in the Life Sciences industry!

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