Senior AI Consultant – AI Start-up
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Pharmaceutical Manufacturing Sector | Hybrid (Barcelona) | Reports to Global VP Consulting Services
This software‑as‑a‑service provider transforms manufacturing operations in life science industries using advanced analytics and artificial intelligence. Following a recent SeriesC round of growth funding, we are looking for new team members motivated to make a positive contribution to the Life Sciences industry. Our products and services help pharma manufacturers and CDMOs make better decisions in GMP operations.
We help operations leaders and engineers avoid endless cycles of chasing data in disparate and heavy‑handed systems, enabling them to quickly understand how to run their manufacturing processes better. We’re solving multiple problems in GMP operations that cost manufacturers millions yearly while accelerating their digital maturity journey. One of our unique capabilities is the ability to operationalize the use of predictive AI models in real time without a big‑data‑science staff. We’re backed by industry and software investor firms such as NewVale Capital, Atlantic Bridge, Danaher, Honeywell, CrossLink, and UnCork.
Our mission is to improve integral health by optimizing how medicines are manufactured, so pharma and biotech companies can provide patients around the world with the right medicine, at the right time and price.
The Position
The Senior Artificial Intelligence Consultant’s role is to inspire customers through technology, leveraging growing knowledge in Artificial Intelligence, Cloud Computing, and Software as a Service.
Key Responsibilities
Lead data analyses to solve business problems and help bring them to production by working with the Data Science and Engineering teams.
Assist in the training and fine‑tuning of machine‑learning models for the manufacturing industry, including supervised/unsupervised models, probabilistic 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 using Agile methodologies.
Help validate algorithm implementations 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.
Analyze customers’ data (both in and outside of the platform) to model the behavior of a wide variety of pharma manufacturing processes.
Build AI‑driven solutions that fit the needs of customers, using the tools, algorithms, and software provided by the product.
Help build intelligent and reusable solutions for customers and the product.
Qualifications
Must‑have
Excellent academic background (minimum MSc) in Applied Mathematics, Statistics, Advanced Analytics, or a related quantitative field.
Expertise in Data Science and Machine Learning is highly desirable.
A degree from a reputable university and top academic performance.
At least 4+ years in a similar customer‑facing position.
Experience in pharma‑manufacturing, including knowledge in optimizing pharmaceutical processes.
Solid experience with Python, JavaScript, React, and a decent understanding of programming principles and techniques.
Comfortable with machine‑learning libraries such as pandas, scikit‑learn, TensorFlow, Keras, and big‑data frameworks such as Spark.
Experience working with both relational and NoSQL databases.
Proficient in spoken and written English.
Nice‑have
Previous project management experience is advantageous.
Sound knowledge of various operating systems and databases.
Experience in data visualization and dashboard creation tools.
Knowledge of biotechnological processes (e.G., fermentation, chromatography, viral inactivation) and regulations.
Experience in manufacturing (not laboratory) and functional knowledge of equipment such as bioreactors, sterilizers, analyzers, scales, and related SW.
The Human We’re Looking For
Ability to understand business requirements and translate them into technical requirements.
Familiar with ROI selling concept.
Accustomed to working with tech sales teams and solutions architects.
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, and a get‑things‑done mindset.
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. xhfqzwm
Availability to travel.
What We Offer
Competitive salary (according to experience/skills)
Equity, bonuses, and generous stock options
Versátil schedule – intensive Fridays
Language one‑to‑one training courses
Competitive healthcare plans and benefits – medical & dental insurance
Internal training and certifications plan
Flexible remuneration options
Career plan and scheduled salary reviews
Team‑building activities
Top‑notch tech pack (we are Mac lovers)
An open and collaborative work environment with a dynamic team and a very international culture
An opportunity for personal and professional growth, supported by stellar investors and the exciting challenges of joining a company at the start of its growth trajectory
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