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Mostrando entradas con la etiqueta big data. Mostrar todas las entradas
Mostrando entradas con la etiqueta big data. Mostrar todas las entradas

25 de diciembre de 2020

Demuestra tus poderes de R como Analista de Datos de pesca en Copenhage

Vacancy for an Advice and Data Analyst
We are currently in search of a talented Advice and Data Analyst to join the ICES Secretariat Advisory services team based in Copenhagen, Denmark.
Published: 11 December 2020


​​​​The Advice team comprises 16 staff members who support the delivery of advisory products from single fish stocks to multi-species and mixed fisheries advice. The team works with the Advisory Committee and the wider ICES community in order to fulfil the requests for scientific advisory services provided by our organization.


We seek a full time analyst to strengthen the technical and scientific output of ICES work by developing an existing proof of concept of online and connected advice outputs, underpinned by ICES data management systems, into an operational tool for our community of scientists. This role involves close collaboration with both in-house experts in management advice provision, data and software services, as well as national institute experts dealing with the provision of management advice. The role will report to the Head of Advisory Support.


A vocational or educational background related to statistics and/or biology/science with a capacity for data automation are an essential aspect of this role, as how to understand and present the outputs is as important as underlying technical skills in this position.

​Key responsibilities:


Develop scripts to connect and pull outputs from a range of ICES data and advice databases and systems

Create a coherent suite of web based outputs for displaying advice and data outputs, under supervision of the advice professional

Further develop and support existing advice and data outputs, such as Transparent Assessment Framework, Fisheries Overviews and Stock Assessment Graphs, to deliver content into the new web based outputs

Actively participating in different project teams through a range of project management tools

Contributing to reports, expert group meetings and presentations as required​

Required competences and experience:

  • University degree in a science, computer scicence or statistics related subject, or equivalent vocational experience
  • Excellent written and spoken English
  • Excellent knowledge of R, capacity to create, run and debug scripts and packages, but also additional programming skills/languages are highly desirable.
  • Good knowledge of web based interfaces, such as ShinyApps or equivalent.
  • Good knowledge of collaborative working tools, SharePoint or similar and Github.
  • A team player, but capable of working independently with little supervision
  • A high level of computer competence, knowledge of databases and related software tools and services
  • Proactive problem solving and communication
  • Methodical approach, i.e. managing tasks, priorities and responsibilities


Terms of appointment

The appointment will be full-time, for starting in February 2021, or as soon as possible.

ICES Secretariat staff enjoy privileges and immunities pursuant to the Host Agreement between the Government of Denmark and ICES. The salary for this role is situated at the “C7" grade which is exempt from Danish income tax and is based on, but not identical to, the United Nations common salary system. A tax-free pension scheme is available.

The ICES Staff Rules set out the conditions and principles of employment and the responsibilities of the staff of the ICES Secretariat.


​Applications


If you feel you have the professional and personal qualities and potential we are looking for, please submit your application (CV and cover letter) by clicking the "Apply" link (redirects to Hired by Us). Deadline for application submission is Sunday, 3 January 2021. Please mark your applications documents “202101 Advice and Data Analyst"

Questions about this vacancy may be directed to Head of Advisory Support Lotte Worsøe Clausen​.


ICES is an equal opportunity employer.

30 de abril de 2020

Oferta de trabajo en remoto para ayudar a investigadores a encontrar empleo como científicos de datos

We're looking for a Coaching & Development Manager to join our team at Insight.

Insight offers professional training Fellowships to facilitate career transitions for high-achieving scientists and engineers in data careers. Over the last 7 years, we've welcomed nearly 3500 Fellows into our Fellowship programs in Data Science, Data Engineering, Health Data Science, Artificial Intelligence, DevOps, Decentralized Consensus, and Security to gain experience with the industry-specific tools needed to work in their growing fields.

At Insight, our mission is to foster a collaborative learning space where Insight Fellows do impactful work leading to a thriving career. Our Coaching and Development team advances our mission by providing mentorship and strategic career guidance to our Fellows in group and one-on-one settings.

This Job Might Be For You If

You enjoy coaching motivated, ambitious individuals to help them find opportunities for personal growth and career advancement
You understand the role of a coach and how to effectively help people consistently move towards achieving their goals, and excel at giving helpful, actionable feedback
You have extensive knowledge of job hiring processes and have helped people successfully maneuver through them to land their desired positions
You enjoy facilitating workshops (in person and virtually) and have the ability to keep both large and small groups of people engaged
You enjoy working with diverse populations, including international students
You have strong communication skills and the ability to teach those skills to others
You are highly skilled in collaborating across multiple locations and teams and take initiative to ask for or offer help when needed
You're self-motivated, and can both practice and teach great time management and prioritization skills


We're especially excited to talk to you if you have prior experience working in a fast-paced environment, like a startup and/or education.

On a Given Day, You Might

Develop content and facilitate group workshops on job search strategy and career development topics
Work with different sizes of Fellow groups, from one-on-one coaching all the way to giving an interactive workshop to 200+ Fellows
Partner with subject matter experts and industry mentors to execute specialized trainings and collaborative exercises on cutting-edge data and professional development tools and best practices
Research, create, and update career development resources for Fellows and alumni
Review and provide feedback on Fellow and alumni career development materials, such as resumes
Provide coaching to Fellows to identify their unique value, improve communication skills, and prepare for interviews


Skills And Experience

Education/Background: You have 3-5 years of career development experience, including: conducting mock interviews, providing training on career development techniques, and helping job-seekers navigate hiring processes. Education, public speaking, and/or group facilitation experience is also highly valued.

Communication: The Coaching and Development Manager will be the face of Insight in many forums, so our ideal candidate is highly skilled in writing (internal and external emails, website content), public speaking (facilitating workshops and engaging discussions), and in 1:1 conversation (advising Fellows, interviewing).

Insight has a strong commitment to diversity and is an equal opportunity employer. Hiring, promotion, and compensation of employees are conducted without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, or age.

At Insight, we offer competitive pay and a comprehensive benefits package including:

Health, Dental, and Vision Insurance
Generous Vacation Policy
Wellness Reimbursement Program
Parental / Family Paid Leave
Conference and Professional Development Support
Stock Options

7 de abril de 2020

Fantástico curso gratuito para aprender a analizar datos con R


Data Science for Ecologists and Environmental Scientists
(https://ourcodingclub.github.io/course) is an online learning initiative for anyone wanting to gain data science skills in the programming language R, with additional content in Python and JavaScript. Our motivation is to overcome "code fear" and "statistics anxiety" in learners of all ages and from all walks of life. This course is developed for international audiences, but is also uniquely Scottish with real-world data to put quantitative skills into the context of key ecological questions. The three course themes introduce learners to key elements of data science - ‘Stats from Scratch’, ‘Wiz of Data Vis’ and ‘Mastering Modelling’. The 16 individual tutorials that make up the course in addition to the further 25 tutorials hosted by Coding Club allow learners to create their own bespoke learning pathway to gaining key skill sets. Quizzes and challenges test knowledge, but also allow users to join a larger community of learners and gain confidence in their own skills. Join the hundreds of thousands of Coding Club users and develop your data science skills through this entirely free and engaging online learning initiative!

9 de octubre de 2019

Prácticas gratuitas (e incluso remuneradas) para convertirte en científico de datos

The Data Incubator is an intensive 8 week bootcamp that prepares the best scientists and engineers with advanced degrees to work as data scientists and quants. It identifies Fellows who already have the 90% difficult-to-learn skills and equips them with the last 10%: the tools and technology stack that make them self-sufficient, productive contributors. The program is free for Fellows. Employers only pay a tuition fee if they successfully hire.

Apply here


Data Science in 30 minutes: Learn how to build a data-science project in our upcoming free Data Science in 30-minutes webcast. Signup soon as space is limited.

Spread the word and earn a reward.

The Data Incubator Team (@thedatainc)
111 8th Ave, New York, NY 10011
Web | Blog | Venture Beat | Harvard Business Review

16 de enero de 2018

Prácticas gratuitas para convertirte en un acaudalado científico de datos

Program: The Data Incubator is an intensive 8 week fellowship that prepares masters students, PhDs, and postdocs in STEM and social science fields seeking industry careers as data scientists. The program is free for Fellows and supported by sponsorships from hundreds of employers across multiple industries. In response to the overwhelming interest in our earlier sessions, we will be holding another fellowship.

Who Should Apply: Anyone who has already obtained a masters or PhD degree or who is within one year of graduating with a masters or PhD is welcome to apply. Applications from international students are welcome. Everyone else is encouraged to sign-up for a future session.

Locations: In addition to the below in-person locations, we will have a remote online session:
New York City
San Francisco Bay Area
Seattle
Boston
Washington, DC.

Dates: All sections will be from 2018-03-26 to 2018-05-18.

Application Link: https://www.thedataincubator.com/fellowship.html?ch=em&ref=abf03d915590#apply

Data Science in 30 minutes: Learn how to build a data-science project in our upcoming free Data Science in 30-minutes webcast. Signup soon as space is limited.

Learn More: You can learn about our fellows at The New York Times, LinkedIn, Amazon, Capital One, or Palantir. To read about our latest fellow alumni, check out our blog. To learn more about The Data Incubator, check us out on Venture Beat, The Next Web, or Harvard Business Review.

25 de marzo de 2016

Online course: Introduction to R for Data Science

R is rapidly becoming the leading language in data science and statistics. Today, the R programming language is the tool of choice for data scientists in every industry and field. Whether you are a full-time number cruncher, or just the occasional data analyst, R will suit your needs.

This introduction to R programming course will help you master the basics of R. In seven sections, you will cover its basic syntax, making you ready to undertake your own first data analysis using R.

Starting from variables and basic operations, you will learn how to handle data structures such as vectors, matrices, data frames and lists. In the final section, you will dive deeper into the graphical capabilities of R, and create your own stunning data visualizations. No prior knowledge in programming or data science is required.

What makes this R programming course unique is that you will continuously practice your newly acquired skills through interactive in-browser coding challenges using the DataCamp platform.

Instead of passively watching videos, you will solve real data problems while receiving instant and personalized feedback that guides you to the correct solution.

What you'll learn
  • R language fundamentals and basic syntax
  • What R is and how it’s used to perform data analysis 
  • You will become familiar with the major R data structures
  • You will make your own visualizations using R

29 de febrero de 2016

10 PhD in Big Data Analysis (Germany, Sweden, Italy, Switzerland)

10 doctoral (PhD) positions in Big Data Analysis in Chemistry, Marie Skodowska-Curie ITN BIGCHEM (http://bigchem.eu)

BIGCHEM (BIG data in CHEMistry) is a Marie Skodowska-Curie Innovative Training Network (ITN) for Early Stage Researchers (ESR) funded by the European Commission under the H2020 Programme. The BIGCHEM ITN will provide a comprehensive and cross-disciplinary structured curriculum for doctoral students in large chemical data analysis using machine-learning, computational chemistry and chemoinformatics methods. The innovative research program will be implemented with the target users, large pharma companies and SMEs, which generate and analyse large chemical data.

BIGCHEM is a collaborative action of 9 groups in 5 countries from academia and pharmaceutical industry. The complementary expertise of partners in different aspect of large chemical data, including data production, data security, analysis, and development of theoretical methods is the basis of the research topics and allocation of individual tasks and resources.

The project will train ten Early Stage Researchers (ESR). Each ESR will spend at least 50% of time with industrial partners and will be employed for 36 months in total (18 months with academic partner and 18 months with industrial partner or vice versa). The ESRs will be enrolled in the respective Universities and will study towards their PhD degrees

ESR1: Machine learning methodologies for mining very large compound data sets. (Boehringer Ingelheim GmbH & Co KG and University of Bonn, Germany)
ESR2: Computational compound screening and profiling by large-scale mining of pharmaceutical data. (University of Bonn, Germany and Boehringer Ingelheim GmbH & Co KG, Germany)
ESR3: Big data visualization and modeling using Generative Topographic Mapping (GTM). (University of Strasbourg and Boehringer Ingelheim GmbH & Co KG, Germany)
ESR4: Development of frequent hitters filters for HTS screening. (Helmholtz Zentrum München & Lead Discovery Center GmbH, Germany)
ESR5: Analysis of Compound Promiscuity Based on Bioassay Ontology. (University of Bonn & AstraZeneca, Germany & Sweden)
ESR6: Developing virtual screening methods to exploit large virtual chemical space. (University of Bern & AstraZeneca, Sweden & Switzerland)
ESR7: Exploration of uncharted regions of the chemical space by reaction-driven de novo design. (Boehringer Ingelheim GmbH & Co KG and ETH Zürich, Germany and Switzerland)
ESR8: Accessing new chemical space for lead optimization based on QSAR models. (AstraZeneca & Helmholtz Zentrum München, Germany & Sweden)
ESR9: Integrated ligand- and structure-based approaches for predicting compound polypharmacology based on big data. (University of Modena and Reggio Emilia & AstraZeneca, Italy & Sweden)
ESR10: Secure sharing of information using ensemble of machine learning methods and surrogate data. (Helmholtz Zentrum München & AstraZeneca, Germany & Sweden)

Further information about the recruitment process as well as the eligibility criteria are indicated on the BIGCHEM sitehttp://bigchem.eu (or from info AT bigchem.eu). Applications should be submitted on-line through the project websitehttp://bigchem.eu.

Deadline for applications is 20.03.2016.

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