Azienda

IagoraVedi altro

addressIndirizzoScienza/Ricerca, Inglese, Italiano
CategoriaAltro

Descrizione del lavoro

Descrizione del lavoro:

Associate Scientist in Molecular Dynamics and Machine Learning models applied to vaccine early development
We have an exciting opportunity open within our Italian Vaccine R&D team to work as an associate Scientist on a temporary, full-time basis. In this role, you will develop your scientific and digital knowledge, you will be part of a innovation driven group of people with the mission to innovate the Drug substance process and development.
This position is perfect for someone who wants to collaborate with scientific staff to implement, and interpret the data, using scientific data knowledge and experience to influence technical decisions.
A minimum technical knowledge on expression system and protein antigen is desired, a high agility and a high desire to learn new is expected.
Key Responsibilities
This role will provide YOU the opportunity to contribute to key activities to progress YOUR career, these responsibilities include some of the following:
* You will work on an innovative project to assess AI/ML and molecular dynamics applicability to DS projects and antigen screening;
* You will collaborate to AI/ML model expansion to be able to model the characteristics of interest;
* You will Collaborate with the Data Analytics group to improve your knowledge on modelling and assess improvement to available modeling approach;
* You will do Literature research for available database to be used as training material to expand the available dataset and evaluate comparability;
* You will Gather information on E.Coli expressed antigens not limited to Vaccines TRD DS project but within the (COMPANY NAME) biopharma network;
* You may be responsible for technical follow-up of external collaborations;
* You participate to the writing of scientific reports, prepares and presents scientific data, defend scientific and technical decisions at the appropriate technical board in collaboration with other experienced scientists of the team.
Why you?
Basic Qualifications:
We are looking for professionals with these required skills to achieve our goals:
* Degree in Biology, Chemistry, Chemical and Pharmaceutical Technologies, chemical and biochemical engineering and similar.
* Experience in data analysis, statistics and modelling is needed.
* We accept young talented graduates with minimum experience in the field.
Preferred Qualifications:
* Previous experience in AI/ML modelling using Pyton or equivalent software is a plus
Job posting end date: February 12th, 2024
Why Us?
(COMPANY NAME) is a global biopharma company with a special purpose - to unite science, technology and talent to get ahead of disease together - so we can positively impact the health of billions of people and deliver stronger, more sustainable shareholder returns - as an organization where people can thrive. Getting ahead means preventing disease as well as treating it, and we aim to positively impact the health of 2.5 billion people by the end of 2030.
Our success absolutely depends on our people. While getting ahead of disease together is about our ambition for patients and shareholders, it's also about making (COMPANY NAME) a place where people can thrive. We want (COMPANY NAME) to be a workplace where everyone can feel a sense of belonging and thrive as set out in our Equal and Inclusive Treatment of Employees policy. We're committed to being more proactive at all levels so that our workforce reflects the communities we work and hire in, and our (COMPANY NAME) leadership reflects our (COMPANY NAME) workforce.
If you require an accommodation or other assistance to apply for a job at (COMPANY NAME), please contact the (COMPANY NAME) Service Centre at 1-877-694-7547 (US Toll Free) or +1 801 567 5155 (outside US).
(COMPANY NAME) is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive equal consideration for employment without regard to race, color, national origin, religion, sex, pregnancy, marital status, sexual orientation, gender identity/expression, age, disability, genetic information, military service, covered/protected veteran status or any other federal, state or local protected class.
Important notice to Employment businesses/ Agencies
(COMPANY NAME) does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact (COMPANY NAME)'s commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to (COMPANY NAME). The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and (COMPANY NAME). In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of (COMPANY NAME). (COMPANY NAME) shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site.
Please note that if you are a US Licensed Healthcare Professional or Healthcare Professional as defined by the laws of the state issuing your license, (COMPANY NAME) may be required to capture and report expenses (COMPANY NAME) incurs, on your behalf, in the event you are afforded an interview for employment. This capture of applicable transfers of value is necessary to ensure (COMPANY NAME)'s compliance to all federal and state US Transparency requirements. For more information, please visit (COMPANY NAME)'s Transparency Reporting For the Record site

Refer code: 1364025. Iagora - Il giorno precedente - 2024-02-09 02:58

Iagora

Scienza/Ricerca, Inglese, Italiano

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